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Network Security Consultant
Capital One
Contract
Remote
Posted 3 weeks ago
Job Title: Network Security Consultant
Position Overview:
We’re looking for an experienced Level 3 Network Engineer with deep technical expertise in LAN, WAN, security, and SD-WAN environments. The right candidate will bring a solid background in Cisco ACI (Application Centric Infrastructure) and have a proven track record of supporting complex enterprise network environments. This is a hands-on engineering role focused on performance, reliability, and secure infrastructure management.
Key Responsibilities:
- Design, implement, and support enterprise-grade LAN/WAN and SD-WAN networks
- Administer and troubleshoot Cisco ACI fabric, ensuring smooth network operations
- Perform network performance analysis, traffic engineering, and optimization
- Lead incident resolution for escalated network issues and perform root cause analysis
- Maintain strong documentation including network diagrams, SOPs, and change logs
- Collaborate with cross-functional teams including security, infrastructure, and application teams
- Ensure security best practices are applied across all network layers
- Participate in capacity planning and infrastructure upgrades
- Support change management and service delivery within established SLAs
Required Skills & Qualifications:
- 10+ years of experience in network engineering roles with increasing responsibilities
- Strong technical expertise in LAN/WAN, routing, switching, and SD-WAN technologies
- Hands-on experience with Cisco ACI environments (configuration, monitoring, troubleshooting)
- Solid understanding of network security concepts and tools
- Familiarity with enterprise monitoring and management platforms
- Excellent troubleshooting skills and the ability to handle high-priority incidents independently
- Strong communication and documentation skills
- Relevant certifications such as CCNP, CCIE, or equivalent needed
Job Features
Job Category
Cloud Security Engineer, Cyber Security
Job Title: Network Security Consultant Position Overview: We’re looking for an experienced Level 3 Network Engineer with deep technical expertise in LAN, WAN, security, and SD-WAN environments. The …View more
Healthcare Data Analyst
University of Connecticut
Salary- $80K/yr – $100K/yr
Remote
Posted 4 weeks ago
SUPERVISION RECEIVED:
Works under the general supervision of a higher grade.
EXAMPLES OF DUTIES:
Compiles and organizes large datasets from various sources, including electronic health records, patient charts, multiple administrative databases, patient surveys, and other pertinent sources;
Builds and maintains a valid, accurate and uniformed data repository to ensure data integrity and availability of appropriate data for evaluation needs;
Writes code from various sources to process raw data elements into metrics for analysis; selects and filters relevant information from multiple sources;
Applies critical thinking and logic to construct data sets to achieve accurate comparisons to benchmarks;
Collaborates with stakeholders to identify objectives and goals of analysis; coordinates and prioritizes analytic projects; manages and executes projects within targeted timelines;
Performs advanced statistical analyses to identify patterns and trends and opportunity assessments to assist in delivering optimal healthcare management and decision making;
Designs data visualizations and determines the best way to present data in a clear understandable format using reports, drilldowns, tables, gauges, graphs, charts and other intuitive graphical add-ons;
Prepares and delivers results to leadership with analytic insights, interpretations, and recommendations;
Performs other related duties as required.
KNOWLEDGE, SKILLS AND ABILITIES:
Considerable knowledge of health care industry standards and practices in descriptive/predictive analytics and reporting concepts;
Applied knowledge of statistical analyses including opportunity assessments, clinical and financial risk tracking, trend identification and predictive modeling exercises;
Advanced knowledge and proficiency of data management applications, Microsoft Office suite, data visualization tools, reporting tools, database programming languages, and related software and other applications; Advanced knowledge in importing data for use in report software, spreadsheets, graphs and flowcharts;
Strong analytical, mathematical, creative problem-solving and critical thinking skills with attention to detail;
Excellent verbal and written communication skills with considerable knowledge of proper grammar, punctuation and spelling;
Considerable interpersonal and collaboration skills with the ability to interact effectively in a team environment as well as independently;
Detailed oriented, excellent organizational, planning and prioritizing skills with flexibility and adaptability in a variety of work situations;
Proven ability to communicate complex data analytics using clear and concise methods and presentation media.
EXPERIENCE AND TRAINING:
GENERAL EXPERIENCE:
Six (6) years of experience in a healthcare data analytical role.
SUBSTITUTION ALLOWED:
Bachelor’s degree in computer science, information management systems, healthcare, mathematics, statistics or related field and two (2) years of experience may be substituted for general experience.
PREFERRED QUALIFICATIONS:
Proficiency in data engineering, analytics and visualization tools and techniques including SQL (complex queries, functions and stored procedures), Python, R and Tableau.
Minimum 2 years of experience with medical informatics, data engineering, data mining, machine learning, data ETL, optimization, and report extraction, using electronic health record data.
Experience with Epic electronic medical records platform.
Experience with data analytics related to value-based programs.
SCHEDULE:Â This position is full-time, Monday-Friday, 8:00am-5:00pm.
Why UConn Health
UConn Health is a vibrant, integrated academic medical center that is entering an era of unprecedented growth in all three areas of its mission: academics, research, and clinical care. A commitment to human health and well-being has been of utmost importance to UConn Health since the founding of the University of Connecticut schools of Medicine and Dental Medicine in 1961. Based on a strong foundation of groundbreaking research, first-rate education, and quality clinical care, we have expanded our medical missions over the decades. In just over 50 years, UConn Health has evolved to encompass more research endeavors, to provide more ways to access our superior care, and to innovate both practical medicine and our methods of educating the practitioners of tomorrow.
Job Features
Job Category
Business Analyst, Data Analyst
SUPERVISION RECEIVED: Works under the general supervision of a higher grade. EXAMPLES OF DUTIES: Compiles and organizes large datasets from various sources, including electronic health records, patien…View more
Fraud Detection Specialist
Snowflake
Salary- $120K/yr – $150K/yr
Remote, Toronto
Posted 4 weeks ago
Fraud Detection Specialist — Full Role Description
Role overview
A Fraud Detection Specialist identifies, prevents, and investigates fraudulent activity across transactions, accounts, user behavior, and systems. The role blends analytical investigation, real-time risk monitoring, and cross-functional coordination to reduce losses and protect customers and the business.
Key responsibilities
-
Monitor real-time transactions and account activity; assess alerts, block or release decisions, and trigger additional verification when needed.
-
Conduct end-to-end investigations: gather evidence, reconstruct timelines, identify modus operandi, document findings in case systems.
-
Analyze trends in chargebacks, disputes, and incidents to refine rules, thresholds, and model features; reduce false positives.
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Operate and tune fraud tools: risk scoring systems, device/behavioral intelligence, rules engines, and ML-based detectors; propose new logic.
-
Produce dashboards and reports on fraud metrics, losses, recovery, and emerging patterns; brief leadership and stakeholders.
-
Collaborate with payments, risk, security, compliance/AML, SOC, and customer support; escalate high-severity cases and coordinate actions.
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Contribute to policy and process design: detections, reviews, KYC/KYB controls, dispute handling, and loss recovery procedures.
-
Support remediation and recovery efforts: transaction reversals, account actions, customer outreach, and preventive control rollout.
-
Track emerging threats (account takeover, synthetic IDs, mule networks) and advise on control gaps across products and processes.
Success outcomes
-
Lower fraud losses and chargeback rates via faster, more precise interdiction.
-
Reduced false positives and better customer experience through improved scoring and tuning.
-
Clear, auditable investigations with timely, actionable reporting.
-
Proactive controls that address new fraud vectors before they scale.
Core skills and tools
-
Data analysis: SQL, Excel/BI, familiarity with log and event data; ability to spot anomalies and links in large datasets.
-
Fraud platforms: experience with real-time monitoring, rules engines, device/behavioral risk, identity verification, and chargeback tooling.
-
Investigation: evidence collection, chain-of-custody awareness, case documentation, interviewing, and writing defensible reports.
-
Communication: concise escalation notes, stakeholder briefings, and cross-team coordination under time pressure.
-
Domain knowledge: card-not-present/payments, e-commerce and banking fraud typologies, disputes/chargebacks, compliance and AML touchpoints.
-
Collaboration: partnering with fraud ops, risk, product, engineering, compliance, and customer care to operationalize controls.
Typical day
-
Triage and review queued alerts; prioritize high-risk cases.
-
Deep-dive investigations using device, behavioral, historical, and network data; decide block/release/escalate.
-
Review dashboards for spikes, drift, or new patterns; propose rules or threshold changes.
-
Coordinate with payments/ops on disputes and reimbursements; sync with security/compliance on significant incidents.
-
Summarize trends and recommendations for management.
Advanced/technical track (optional but valuable)
-
Machine learning: supervised/unsupervised detection, risk scoring, feature engineering, model performance and drift monitoring.
-
Streaming and real-time decisioning: low-latency pipelines to evaluate transactions in milliseconds.
-
Graph/network analytics: uncover mule rings, shared devices, collusive merchant/affiliate schemes.
Common fraud types
-
Account takeover, identity theft, synthetic identity, payment card fraud, merchant/affiliate abuse, chargeback fraud, refund abuse, promotion abuse, bot-driven abuse, and social engineering impacts.
Career paths
-
Progression into Fraud Strategy, Risk Analytics, Payments Risk, Threat Intelligence, AML/Financial Crime, or Security Operations leadership.
Role variants and titles
-
Fraud Analyst, Fraud Prevention Specialist, Fraud Investigator, Fraud and Risk Analyst, Senior Fraud Analyst.
Why it matters now
-
Rapid growth in digital payments and online services has expanded fraud attack surfaces. Effective specialists combine domain knowledge, analytics, and fast operations to reduce losses while minimizing customer friction, preserving trust and growth.
Job Features
Job Category
Cyber Security, Data Science
Fraud Detection Specialist — Full Role Description Role overview A Fraud Detection Specialist identifies, prevents, and investigates fraudulent activity across transactions, accounts, user behavior,…View more
Salary- $150K/Yr – $180K/Yr
Remote
Posted 4 weeks ago
Machine Learning
The Safe-and-Sound team makes Spotify safe and enjoyable for every listener. From podcast recommendations to AI Playlists, we’re a part of some of Spotify’s most-loved features. We build Responsible AI solutions by understanding our music, podcasts and users better than anyone else. Join us and you’ll keep millions of users listening by making recommendations safe for each and every one of them.
What You’ll Do
- Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development
- Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways
- Prototype new approaches and production-ize solutions at scale for our hundreds of millions of active users
- Help drive optimization, testing, and tooling to improve quality
- Be part of an active group of machine learning practitioners in New York (and across Spotify) collaborating with one another
Who You Are
- You have a strong background in machine learning, with experience and expertise in personalized machine learning algorithms, especially recommender systems.
- You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with XGBoost, TensorFlow is also a plus.
- You care about agile software processes, data-driven development, reliability, and disciplined experimentation
Where You’ll Be
- We are a distributed workforce enabling our band members to find a work mode that is best for them!
- Where in the world? For this role, it can be within the Americas region in which we have a work location
- Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
- Working hours? We operate within the Eastern Standard time zone for collaboration
Our global benefits
Extensive learning opportunities, through our dedicated team, GreenHouse.
Flexible share incentives letting you choose how you share in our success.
Global parental leave, six months off – fully paid – for all new parents.
All The Feels, our employee assistance program and self-care hub.
Flexible public holidays, swap days off according to your values and beliefs.
Learn about life at Spotify
The United States base range for this position is $136,878- $195,540 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.
Job Features
Job Category
Data Analyst, Data Science, Machine Learning
Machine Learning The Safe-and-Sound team makes Spotify safe and enjoyable for every listener. From podcast recommendations to AI Playlists, we’re a part of some of Spotify’s most-loved features. W…View more
Salary- $120K/yr – $150K/yr
Remote
Posted 4 weeks ago
Title: Cloud Security Engineer
Location: Hybird
Resource Proposal for Cloud Security Engineer – Integration Modernization Initiative
Project Name:Â Integration Modernization
Resource Requirement:Â Cloud Security Engineer – Contractor
Key Technologies Involved: TIBCO, APIGEE, Kafka, and other integration tools (TBD)
Executive Summary
The Integration Modernization initiative aims to enhance Ulta’s capabilities by modernizing existing systems, optimizing processes, and enabling seamless communication across various platforms, focusing on a move to Google Cloud Platform (GCP). As part of this effort, we will integrate a range of tools and technologies, including TIBCO, APIGEE, Kafka, and additional integration platforms (TBD) over the next 12 months.
Scope of Work
The Cloud Security Engineer will work closely with the Integration Modernization team to design, implement, and monitor security measures across various integration tools. They will ensure the integrity, confidentiality, and availability of data as it flows between systems. The security engineer will also assist in defining policies and best practices for integrating TIBCO, APIGEE, Kafka, and any future tools. This role will involve both strategic planning and tactical implementation.
Key responsibilities include:
- Security Assessment and Risk Management:
- Conduct security risk assessments for integration tools (TIBCO, APIGEE, Kafka, etc.)
- Identify and mitigate potential vulnerabilities in cloud-based architectures.
- Ensure proper encryption and key management protocols are in place.
- Architecture and Design:
- Collaborate with solution architects to design secure integration architectures, ensuring proper authentication, authorization, and data protection across the platforms.
- Work with cross-functional teams to integrate security into DevOps pipelines, CI/CD workflows, and API lifecycle management.
- Tool and Platform Security:
- Ensure security configurations of TIBCO, APIGEE, Kafka, and other integration tools are aligned with industry standards and organizational policies.
- Manage security integrations with Ulta’s identity management systems.
- Monitoring and Incident Response:
- Set up continuous monitoring for security events and anomalies across the integration platforms.
- Respond to security incidents and provide remediation guidance in the event of breaches or vulnerabilities.
- Compliance and Auditing:
- Ensure compliance with relevant industry standards and regulations (e.g., GDPR, HIPAA, SOC 2, etc.) for the tools and services in use.
- Conduct regular audits of security controls and recommend improvements as needed.
- Documentation and Knowledge Transfer:
- Maintain up-to-date security documentation for each platform transferring monitoring and incident response to the Security Operations Center.
- Conduct knowledge transfer sessions for the wider IT and security teams to ensure ongoing security practices are followed.
Resource Justification
The integration modernization initiative is crucial for maintaining competitive advantages and supporting the company’s strategic goals. As the organization adopts new cloud-based tools and integrates multiple platforms, securing these technologies is critical to minimizing risks associated with data breaches, cyberattacks, and regulatory non-compliance.
Given the breadth of tools involved, including TIBCO, APIGEE, and Kafka, a dedicated Cloud Security Engineer is required to ensure that security considerations are fully embedded into every phase of the integration process. Their expertise will not only safeguard the organization’s assets but will also promote efficiency by proactively addressing potential security gaps before they evolve into major issues.
Skills and Experience Required
The ideal candidate will have a combination of the following skills and experience:
Technical Skills:
- Cloud Security Expertise:Â Experience securing cloud-based architectures, including AWS, Azure, or Google Cloud.
- Integration Platforms: Deep knowledge of integration tools such as TIBCO, APIGEE, and Kafka with a focus on security.
- API Security:Â Expertise in securing APIs using industry-standard protocols (OAuth 2.0, OpenID Connect, JWT, etc.).
- Network Security:Â Knowledge of securing microservices, messaging systems, and network communication in hybrid and multi-cloud environments.
- Identity and Access Management (IAM):Â Experience implementing IAM solutions for integration platforms, including SSO, RBAC, and MFA.
- DevSecOps:Â Familiarity with CI/CD pipelines and automating security controls within development processes.
Job Features
Job Category
Cyber Security, Security
Title: Cloud Security Engineer Location: Hybird Resource Proposal for Cloud Security Engineer – Integration Modernization Initiative Project Name: Integration Modernization Resource Requirement:…View more
Platform Engineer
Prudential
Salary- $92K/yr – $144K/yr
Remote
Posted 4 weeks ago
Location: Remote
You will code, test and debug new and existing applications as you implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences. In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do.
Requirements:
Craft the business logic and integration patterns with Prudential Ecosystem, using modern integration, data, and security patterns.
Write unit, integration tests and functional automation, researching problems discovered by quality assurance or product support, developing solutions to address the problems.
Bring an applied understanding of relevant and emerging technologies, begin to identify opportunities to provide input to the team and coach others, and embed learning and innovation in the day-to-day
The Skills & Expertise You Bring:
Minimum of 3 years’ experience in Fast Configuration and Development
Bachelor of Computer Science or Engineering or experience in related fields
Leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization.
Programming Languages:  Core Platforms & Languages: FAST – Full Stack + FAST
Job Features
Job Category
DevOps
Location: Remote You will code, test and debug new and existing applications as you implement capabilities to solve sophisticated business problems, deploy innovative products, services and experience…View more
Salary- $120K/yr – $150K/yr
Hybrid
Posted 4 weeks ago
Job Description:
We are looking for a DevOps Engineer with a passion for astronomy and space technology to join our team. In this role, you will work closely with astronomers, astrophysicists, and data scientists to develop, deploy, and manage scalable infrastructure for astronomical data processing, observatory automation, and space research applications.
Key Responsibilities:
-
Design, implement, and maintain CI/CD pipelines for astronomical software and data processing workflows.
-
Manage and optimize cloud-based infrastructure (AWS, Azure, or Google Cloud) for large-scale space data storage and analysis.
-
Automate deployment, scaling, and monitoring of telescope control systems, astrophysics simulations, and satellite operations.
-
Collaborate with scientists and engineers to integrate DevOps best practices into astronomical research projects.
-
Implement containerization and orchestration (Docker, Kubernetes) for astronomical data pipelines.
-
Enhance system reliability, security, and performance for astronomical observatories and space missions.
-
Develop and maintain infrastructure as code (Terraform, Ansible, or CloudFormation).
-
Monitor and troubleshoot system performance and astronomical data processing jobs.
Requirements:
-
Bachelor’s or Master’s degree in Computer Science, Astronomy, Astrophysics, or related fields.
-
3+ years of experience in DevOps, SRE, or Cloud Engineering.
-
Proficiency in Linux, Shell scripting, Python, or Golang.
-
Experience with cloud services (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
-
Knowledge of big data processing (Hadoop, Spark, or Apache Airflow) for handling astronomical datasets.
-
Familiarity with astronomical data formats (FITS, HDF5) and scientific computing tools.
-
Passion for space exploration, astronomy, or satellite technology.
Preferred Qualifications:
-
Experience working with astronomical observatories, space agencies, or research institutes.
-
Understanding of radio astronomy, optical telescopes, or space mission software.
-
Contributions to open-source projects related to space science or DevOps.
Benefits:
-
Work on cutting-edge space and astronomy projects.
-
Collaborate with leading scientists and space agencies.
-
Competitive salary and flexible work environment.
-
Opportunity to contribute to groundbreaking astronomical discoveries.
Job Features
Job Category
DevOps
Job Description: We are looking for a DevOps Engineer with a passion for astronomy and space technology to join our team. In this role, you will work closely with astronomers, astrophysicists, and dat…View more
Penetration Tester (App Layer)
GoEngineer
Salary- $80K/yr – $100K/yr
Onsite
Posted 4 weeks ago
Key Responsibilities:
-
Plan and execute penetration tests on web, mobile, and API applications.
-
Simulate real-world attack scenarios to expose vulnerabilities.
-
Document findings and communicate remediation steps to developers.
-
Stay updated on the latest hacking tools, techniques, and vulnerabilities.
-
Assist in the development of secure coding practices based on test results.
-
Support compliance and audit activities through thorough reporting.
A Penetration Tester (App Layer) specializes in uncovering and helping fix vulnerabilities in application code and architecture. By simulating attacks, they identify weaknesses that could be exploited by real hackers. Their work helps organizations understand and address risks, ensuring applications remain resilient to current and evolving threats. In addition to technical testing, they play a key role in educating teams about securing the application stack.
Job Features
Job Category
Cyber Security
Key Responsibilities: Plan and execute penetration tests on web, mobile, and API applications. Simulate real-world attack scenarios to expose vulnerabilities. Document findings and communicate remedia…View more
Salary- $120K/yr – $150K/yr
Hybrid, Remote
Posted 4 weeks ago
Title: PowerBI Data Analyst
Location: Hybrid
Hiring Manager Notes:
- Please make sure that candidates have been using PowerBI, SQL, and Python on a weekly basis for the past 5+ years.
- Excellent communication is essential. This Statistician will:
- 1. Require a working knowledge of formal statistical analysis and causal modeling.
- 2. Use SQL to manipulate and model data.
- 3. Use Python or R perform statistical and causal modeling; create visualizations;
- 4. Use Tableau to create interactive visualizations
Additional Comments :
- We need strong Statistical Analysis candidate with hands on Tableau exp.
- We are actively looking for a data scientist. Any data scientist should have experience with ML and building visualizations. (If they don’t have ML experience, they are a data analyst; not a data scientist.) The technology they use might vary, so I am looking for ones with experience in python, SQL, and Tableau.
- Please make sure that candidates have been using Tableau, SQL, and Python on a weekly basis for the past 5+ years
- Excellent communication is essential
This role will:
- Use Tableau to create visualizations
- Use SQL to manipulate and model data
- Use python to manipulate and model data; create visualizations;
- Require a working knowledge of formal statistical analysis and causal modeling
- Require excellent communication skills
Job Features
Job Category
Data Analyst, Data Engineer, Python Developer
Title: PowerBI Data Analyst Location: Hybrid Hiring Manager Notes: Please make sure that candidates have been using PowerBI, SQL, and Python on a weekly basis for the past 5+ years. Excellent communic…View more
Senior Data Analyst
Meta Reality Labs
Salary- $150K/Yr – $180K/Yr
Hybrid
Posted 1 month ago
Title: Senior Data Analyst
Location: Hybrid
About the Role (Meta-specific):
In this role, you will play a crucial part in driving data-driven decision-making within our sales organization. You will be a key partner to the channel lead, providing analytical support and insights that inform sales strategies and optimize our go-to-market approach. The ideal candidate possesses a strong analytical mindset, excellent communication skills, and a passion for leveraging data to drive business growth within the retail and hard goods sector.
Responsibilities:
- Collaboration with Data Science/Engineering: Work closely with Meta Reality Labs’ data science and engineering teams to communicate sales reporting needs, provide guidance on tooling requirements, and ensure alignment between data capabilities and business objectives.
- Rhythm of Business Reporting: Develop and maintain continuous reporting processes that provide a clear and comprehensive view of Reality Labs’ business performance. Focus on agility and identify how business operations impact sales outcomes. Create impactful data visualizations to effectively communicate key metrics and trends to stakeholders.
- Insights to Action:Â Conduct ad hoc analyses to address specific business questions and challenges. Apply critical thinking and sales analytics expertise to develop data-driven recommendations for senior sales leaders. Propose adjustments to sales models to optimize operational plans and identify areas for efficiency improvement.
Qualifications:
- Strong analytical and problem-solving skills with a proven ability to translate data into actionable insights.
- Proficiency in SQL and data visualization tools (e.g., Tableau, Power BI).
- Excellent communication and interpersonal skills with the ability to effectively collaborate with cross-functional teams. Â Â
- Experience working with large datasets and cloud-based data platforms.
Preferred Qualifications in any of this:
- Experience in one or more of the following channels:
-
- Direct to Consumer
- Business-to-Business
- Commercial Sales
- Familiarity with statistical modeling techniques.
- Experience with data storytelling and presentation skills.
Job Features
Job Category
Data Analyst, Data Engineer
Title: Senior Data Analyst Location: Hybrid About the Role (Meta-specific): In this role, you will play a crucial part in driving data-driven decision-making within our sales organization. You will be…View more
Salary- $120K/yr – $150K/yr
Hybrid
Posted 1 month ago
Additional Links:
- This position is Benefit eligible; click here for an overview of available benefits.
- This position is covered by the UHP Bargaining Unit and is in salary group UHP-09; click here to review the current UHP Pay Plan.
- This position is covered by the UHP Bargaining Unit; click here to review the current UHP Contract.
- UConn Health
PURPOSE OF CLASS:
At UConn Health, this class is accountable for organizing and managing large and varied data sets; analyzing complex data to optimize business operations and identify trends for improvement; and communicating findings into meaningful understanding using data visualization and detailed reports.
**Please note, this position requires you on-site at our Farmington, Connecticut location and does not accept visa’s or candidates that cannot relocate to Connecticut at this time.
SUPERVISION RECEIVED:
Works under the general supervision of a higher grade.
EXAMPLES OF DUTIES:
Compiles and organizes large datasets from various sources, including electronic health records, patient charts, multiple administrative databases, patient surveys, and other pertinent sources;
Builds and maintains a valid, accurate and uniformed data repository to ensure data integrity and availability of appropriate data for evaluation needs;
Writes code from various sources to process raw data elements into metrics for analysis; selects and filters relevant information from multiple sources;
Applies critical thinking and logic to construct data sets to achieve accurate comparisons to benchmarks;
Collaborates with stakeholders to identify objectives and goals of analysis; coordinates and prioritizes analytic projects; manages and executes projects within targeted timelines;
Performs advanced statistical analyses to identify patterns and trends and opportunity assessments to assist in delivering optimal healthcare management and decision making;
Designs data visualizations and determines the best way to present data in a clear understandable format using reports, drilldowns, tables, gauges, graphs, charts and other intuitive graphical add-ons;
Prepares and delivers results to leadership with analytic insights, interpretations, and recommendations;
Performs other related duties as required.
KNOWLEDGE, SKILLS AND ABILITIES:
Considerable knowledge of health care industry standards and practices in descriptive/predictive analytics and reporting concepts;
Applied knowledge of statistical analyses including opportunity assessments, clinical and financial risk tracking, trend identification and predictive modeling exercises;
Advanced knowledge and proficiency of data management applications, Microsoft Office suite, data visualization tools, reporting tools, database programming languages, and related software and other applications;
Advanced knowledge in importing data for use in report software, spreadsheets, graphs and flowcharts;
Strong analytical, mathematical, creative problem-solving and critical thinking skills with attention to detail;
Excellent verbal and written communication skills with considerable knowledge of proper grammar, punctuation and spelling;
Considerable interpersonal and collaboration skills with the ability to interact effectively in a team environment as well as independently;
Detailed oriented, excellent organizational, planning and prioritizing skills with flexibility and adaptability in a variety of work situations;
Proven ability to communicate complex data analytics using clear and concise methods and presentation media.
EXPERIENCE AND TRAINING:
GENERAL EXPERIENCE:
Six (6) years of experience in a healthcare data analytical role.
SUBSTITUTION ALLOWED:
Bachelor’s degree in computer science, information management systems, healthcare, mathematics, statistics or related field and two (2) years of experience may be substituted for general experience.
PREFERRED QUALIFICATIONS:
Proficiency in data engineering, analytics and visualization tools and techniques including SQL (complex queries, functions and stored procedures), Python, R and Tableau.
Minimum 2 years of experience with medical informatics, data engineering, data mining, machine learning, data ETL, optimization, and report extraction, using electronic health record data.
Experience with Epic electronic medical records platform.
Experience with data analytics related to value-based programs.
SCHEDULE:Â This position is full-time, Monday-Friday, 8:00am-5:00pm.
Why UConn Health
UConn Health is a vibrant, integrated academic medical center that is entering an era of unprecedented growth in all three areas of its mission: academics, research, and clinical care. A commitment to human health and well-being has been of utmost importance to UConn Health since the founding of the University of Connecticut schools of Medicine and Dental Medicine in 1961. Based on a strong foundation of groundbreaking research, first-rate education, and quality clinical care, we have expanded our medical missions over the decades. In just over 50 years, UConn Health has evolved to encompass more research endeavors, to provide more ways to access our superior care, and to innovate both practical medicine and our methods of educating the practitioners of tomorrow.
Job Features
Job Category
Data Analyst, Data Engineer
Additional Links: PURPOSE OF CLASS: At UConn Health, this class is accountable for organizing and managing large and varied data sets; analyzing complex data to optimize business operations and identi…View more
Salary- $180K/Yr – $225K/Yr
Remote, United States
Posted 1 month ago
Why IQVIA
This role will be dedicated to one of IQVIA’s largest clients through a Functional Service Provider (FSP) type partnership. This means you get all the benefits of working for an industry leading global CRO while operating within a sponsor environment and utilizing sponsor systems. These sponsor clients include world class pharmaceutical and biotech companies offering you a unique opportunity to work on a team where your role is both challenging and rewarding, while working alongside colleagues who are passionate about influencing the future of medicine and advancing therapies. With IQVIA’s FSP business unit, you become a core part of a dynamic team dedicated to reshaping the future of healthcare.
Additional Benefits:
- Home-based remote work opportunities
- Great work/life balance
- Collaborate on projects and innovations with industry leaders in the Pharma and CRO sectors
- Cohesive team environment fostering a collaborative approach to study work
- Variety of therapeutic areas, indications and, study phases
- Job stability; long-term engagements and development opportunities
- Career advancement opportunities
Responsibilities:
- Develop, test, and validate clinical data programs and applications.
- Ensure compliance with CDISC SDTM standards for clinical data.
- Utilize visualization tools such as Spotfire or other similar tools to create insightful data visualizations.
- Write and maintain Python scripts for data manipulation and analysis.
- Collaborate with cross-functional teams to support clinical data needs.
- Provide technical guidance and mentorship to junior programmers.
- Participate in the development and implementation of data management plans.
- Troubleshoot and resolve programming issues in a timely manner.
Education and Experience:
- Bachelor’s or master’s degree in computer science, Statistics, Data Science, or a related field
- Minimum 5+ years’ hands-on experience in clinical trials or life sciences industry
- 3+ years’ extensive experience in clinical data programming and Data Visualization using tools such as Python, Spotfire, or similar.
- Python programming skill is Mandatory.
- Experience with PySpark, Databricks is preferred.
- Proficiency in CDISC SDTM standards.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities.
- Ability to work independently and manage multiple tasks simultaneously.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com
The potential base pay range for this role, when annualized, is $106,200.00 – $177,000.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.
Job Features
Job Category
Data Analyst, Data Visualization
Why IQVIA This role will be dedicated to one of IQVIA’s largest clients through a Functional Service Provider (FSP) type partnership. This means you get all the benefits of working for an industry l…View more
Salary- $101K/yr – $168K/yr
Remote
Posted 1 month ago
The Company
Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). Dexcom began as a small company with a big dream: To forever change how diabetes is managed. To unlock information and insights that drive better health outcomes. Here we are 25 years later, having pioneered an industry. And we’re just getting started. We are broadening our vision beyond diabetes to empower people to take control of health. That means personalized, actionable insights aimed at solving important health challenges. To continue what we’ve started: Improving human health.
We are driven by thousands of ambitious, passionate people worldwide who are willing to fight like warriors to earn the trust of our customers by listening, serving with integrity, thinking big, and being dependable. We’ve already changed millions of lives and we’re ready to change millions more. Our future ambition is to become a leading consumer health technology company while continuing to develop solutions for serious health conditions. We’ll get there by constantly reinventing unique biosensing-technology experiences. Though we’ve come a long way from our small company days, our dreams are bigger than ever. The opportunity to improve health on a global scale stands before us.
Meet the team:
As a Digital Marketing Analytics Manager, you will be responsible for the analytics maintenance, insights, and reporting of our eCommerce website and ancillary digital channels. A successful candidate typically possesses a blend of technical skills, analytical prowess, and strategic thinking. Your insights will be critical in shaping our digital marketing experiences on the website and optimizing conversion rates across the checkout funnel through A/B testing and personalization.
Where you come in:
- You will analyze performance data from ecommerce platforms to understand customer behavior, sales trends, and digital content performance.
- You build and maintain detailed reports and dashboards to supervise key performance indicators (KPIs) across disparate data sources, with a focus on ecommerce and website channel traffic metrics.
- You will identify opportunities for improving conversion rates across web and engagement channels and implement strategies to improve user experience and increase sales.
- You will craft, implement, and analyze A/B tests to optimize marketing strategies and tactics and personalize the site experience, particularly for ecommerce.
- You will provide actionable insights and recommendations to drive sales, new user acquisition, and ecommerce conversion rates (desktop and mobile).
- You will lead operations through Google Tag Manager (and collaboration with developers when needed) to ensure tracking and reporting of marketing activities are accurate and follow Dexcom consent guidelines.
- You will ensure data accuracy and integrity across all marketing platforms and tools.
What makes you successful:
- You bring a minimum of 4-6 years of experience in digital marketing analytics or a related role, in-house or agency setting.
- You are proficient with analytics tools such as Google Analytics 4, Google Tag Manager, and data visualization tools like Tableau or Power BI.
- You have experience with testing and personalization solutions, like VWO, Google Optimize, or similar.
- You exhibit strong analytical and problem-solving skills with the ability to interpret sophisticated data and provide actionable insights.
- You have excellent verbal and written communication skills, with the ability to present data and insights to non-technical stakeholders.
- You exhibit high attention to detail in analysis and reporting.
- You bring outstanding interpersonal/diplomatic skills, the ability to trust and credibility, and a history of driving results through influence at all levels of the organization.
- You have a clear track record of leading across multiple projects, making smart and fast decisions, partnering cross-functionally, delighting collaborators, and driving dramatic growth through successful content marketing strategies and execution in a fast-paced environment.
- You exhibit a strong desire to learn quickly and to work independently with minimal direction, while also functioning and contributing as part of a team.
Experience and Education Requirements:
- Typically requires a Bachelor’s degree with 8-12 years of related experience.
- At this level a graduate degree may be desireable with 4 years of related experience.
What you’ll get:
- A front row seat to life changing CGM technology. Learn about our brave #dexcomwarriors community .
- A full and comprehensive benefits program.
- Growth opportunities on a global scale!
- Access to career development through in-house learning programs and/or qualified tuition reimbursement.
- An exciting and innovative, industry-leading organization committed to our employees, customers, and the communities we serve.
Remote Workplace:Â Your location will be a home office; you are not required to live within commuting distance of your assigned Dexcom site (typically 75 miles/120km). If you reside within commuting distance of a Dexcom site (typically 75 miles/120km) a hybrid working environment may be available. Ask about our Flex workplace option.
Please note: The information contained herein is not intended to be an all-inclusive list of the duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time. The duties and responsibilities in this job description may be subject to change at any time due to reasonable accommodation or other reasons. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Dexcom’s AAP may be viewed upon request by contacting Talent Acquisition at talentacquisition@dexcom.com.
If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact Dexcom Talent Acquisition at talentacquisition@dexcom.com.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Dexcom. Only authorized staffing and recruiting agencies may use this site or to submit profiles, applications or resumes on specific requisitions. Dexcom does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to the Talent Acquisition team, Dexcom employees or any other company location. Dexcom is not responsible for any fees related to unsolicited resumes/applications.
Job Features
Job Category
Business Analyst, Data Analyst
The Company Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). Dexcom began as a small company with a big dream: To forever change how diabetes is …View more
Data Quality Assurance Analyst
2020 Companies
Salary- $80K/yr – $100K/yr
Texas
Posted 1 month ago
2020 Companies is now hiring a full-time remote Data Quality Assurance Analyst
The Data Quality Assurance Analyst plays a vital role in ensuring the accuracy, integrity, and reliability of data flowing through our systems which is ultimately used for critical internal and external reporting. This individual will collaborate closely with the I/S and business analytics teams to implement and maintain robust data quality processes, identify and resolve data discrepancies, and contribute to a culture of data-driven decision-making.
What’s in it for you?
- Work remotely
- Competitive annual salary, paid weekly
- Next day pay on-demand with DailyPay
- Health/Dental/Vision benefits
- 401K Program with matching
- Paid Time Off
- Paid Holidays
- $30 Mobile Reimbursement
- Scholarship opportunities for employees and direct family members
- Employee Assistance Program
- Leadership Development Program
About 2020 Companies
At 2020 Companies, we work for you. As a long-standing partner with many world-renowned clients in the wireless and consumer electronics sectors, we provide talent who personally connect with our consumers by inspiring participation, creating a memorable brand experience, and influencing future purchase decisions to form customers forever.
Job Description
Essential Duties and Responsibilities
Data Quality Assurance
- Develop, implement, and maintain comprehensive data quality assurance processes, including data profiling, data validation, and data cleansing.
- Collaborate with I/S and business analytics teams to establish data quality standards, metrics, and KPIs.
- Conduct regular data audits and assessments to identify and address data quality issues.
- Develop and execute test cases to ensure data accuracy throughout the data lifecycle.
- Monitor data ingestion, calculations, manipulation, and outputs within Salesforce to ensure data integrity.
- Work with stakeholders to define and implement data quality improvement initiatives.
Data Analysis And Reporting
- Analyze complex data sets to identify trends, patterns, and anomalies.
- Generate reports and visualizations to communicate data quality findings and recommendations to stakeholders.
- Collaborate with business users to understand data requirements and ensure data quality meets their needs.
- Support the development of data-quality dashboards and scorecards.
Collaboration And Communication
- Build and maintain strong working relationships with I/S, business analytics, and other key stakeholders.
- Facilitate effective communication and collaboration across teams to promote data quality awareness and best practices.
- Provide training and support to users on data quality processes and tools.
Continuous Improvement
- Stay abreast of industry best practices and emerging trends in data quality management.
- Research and evaluate new data quality tools and technologies.
- Proactively identify opportunities for process improvement and automation.
Qualifications
Education and Experience:
- Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related field.
- 3+ years of experience in data quality assurance or a related role.
- Strong understanding of data management principles, data warehousing, and ETL processes.
- Experience working with Salesforce or other CRM systems is preferred.
- Proficiency in SQL and data analysis tools.
- Experience with data visualization tools (e.g., Power BI) is recommended.
Skills And Abilities
- Excellent analytical and problem-solving skills.
- Strong attention to detail and accuracy.
- Effective communication and collaboration skills.
- Ability to work independently and as part of a team.
- Ability to manage multiple priorities and meet deadlines.
- Proactive and results-oriented approach.
What You Can Expect From 2020 Companies
We welcome every voice, and we are committed to building a truly inclusive environment where your differences are not just welcomed, they are celebrated. We are always identifying opportunities to encourage our team to be their authentic selves, while working to provide a best-in-class experience for our employees. Whether that’s paid holidays, long-term career pathing options, personal development opportunities or professional stretch assignments, you can expect 2020 Companies to support you.
2020’s Commitment
We are committed to creating a diverse and inclusive organization and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other dimensions of identity.
Job Features
Job Category
Data Science
2020 Companies is now hiring a full-time remote Data Quality Assurance Analyst The Data Quality Assurance Analyst plays a vital role in ensuring the accuracy, integrity, and reliability of data flowin…View more
Sr Data Scientist
UnitedHealthcare
Salary- $190K/Yr – $220K/Yr
Remote
Posted 1 month ago
At UnitedHealthcare, we’re simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and equitable. Ready to make a difference? Join us to start Caring. Connecting. Growing together.
We invite you to bring your performance, ideas and innovations to an elite team within a culture built for collaboration. At UnitedHealth Group, we seek individuals who have the ability to drive change, take appropriate risks and influence individuals at all levels of the organization. We are seeking a talented and driven Senior Data Scientist to join our high performing Medicare and Retirement Government Quality Programs team, focusing on improving member experience and driving performance in CAHPS (Consumer Assessment of Healthcare Providers and Systems) star measures. In this role, you will leverage cutting-edge technologies, advanced statistical methods, and machine learning techniques to deliver actionable insights and recommendations that influence key organizational decisions. As a subject matter expert, you will collaborate with cross-functional teams to design and implement analytical solutions that optimize healthcare outcomes and transform the member experience. As a subject matter expert, the data scientist will recommend best approaches to transform the healthcare industry. Join us.
You’ll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
- Perform advanced data analytics to identify insights that can be incorporated into strategic recommendations for improving member health care experience
- Work in a cross-disciplinary environment to embed analytics into strategies that address business problems through data-driven solutions
- Develop solid relationships with stakeholders to define business questions, develop hypotheses and design experiments to improve member outcomes
- Clearly communicate complex findings and make recommendations to non-technical stakeholders
- Support data acquisition and integration necessary to execute analytics projects
- Understand and explain drivers of survey outcomes
- Bring disparate data together with knowledge of health care and government policy to develop and communicate sound business recommendations to leaders throughout the organization
- Provide guidance to junior level data scientists on best practices and methodologies
- Self-motivated and demonstrates an innate ability to absorb new concepts, technical frameworks, program paradigms while employing them creatively to solve complex analytical problems
- Critical thinker- this position will need to evaluate merits of new and innovative ideas and make sound decisions
You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
- 4+ years of professional experience in developing analytical solution using techniques such as machine learning, text mining/analysis, simulations, hypothesis testing, etc.
- 3+ years of professional experience with programming languages
- 3+ years of professional experience applying data analysis to solve business problems
- 2+ years of professional experience communicating analytic results to stakeholders
Preferred Qualifications:
-
-
- Experience with Medicare Advantage products or the healthcare industry
- Experience working with survey data
- Proven solid communicator – this role will need to be comfortable presenting program objectives, process, and performance in multiple setting
Proven solid relationship building skills with internal and practice teams to drive goal alignment
The salary range for this role is $89,800 to $176,700 annually based on full-time employment. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. UnitedHealth Group complies with all minimum wage laws as applicable. In addition to your salary, UnitedHealth Group offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with UnitedHealth Group, you’ll find a far-reaching choice of benefits and incentives.
Application Deadline:Â This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes – an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
Job Features
Job Category
Data Analyst, Data Science
At UnitedHealthcare, we’re simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people …View more
Network Security Consultant
Capital One
Contract
Remote
Posted 3 weeks ago
Job Title: Network Security Consultant
Position Overview:
We’re looking for an experienced Level 3 Network Engineer with deep technical expertise in LAN, WAN, security, and SD-WAN environments. The right candidate will bring a solid background in Cisco ACI (Application Centric Infrastructure) and have a proven track record of supporting complex enterprise network environments. This is a hands-on engineering role focused on performance, reliability, and secure infrastructure management.
Key Responsibilities:
- Design, implement, and support enterprise-grade LAN/WAN and SD-WAN networks
- Administer and troubleshoot Cisco ACI fabric, ensuring smooth network operations
- Perform network performance analysis, traffic engineering, and optimization
- Lead incident resolution for escalated network issues and perform root cause analysis
- Maintain strong documentation including network diagrams, SOPs, and change logs
- Collaborate with cross-functional teams including security, infrastructure, and application teams
- Ensure security best practices are applied across all network layers
- Participate in capacity planning and infrastructure upgrades
- Support change management and service delivery within established SLAs
- 10+ years of experience in network engineering roles with increasing responsibilities
- Strong technical expertise in LAN/WAN, routing, switching, and SD-WAN technologies
- Hands-on experience with Cisco ACI environments (configuration, monitoring, troubleshooting)
- Solid understanding of network security concepts and tools
- Familiarity with enterprise monitoring and management platforms
- Excellent troubleshooting skills and the ability to handle high-priority incidents independently
- Strong communication and documentation skills
- Relevant certifications such as CCNP, CCIE, or equivalent needed
Job Features
Job Title: Network Security Consultant Position Overview: We’re looking for an experienced Level 3 Network Engineer with deep technical expertise in LAN, WAN, security, and SD-WAN environments. The …View more
Healthcare Data Analyst
University of Connecticut
Salary- $80K/yr – $100K/yr
Remote
Posted 4 weeks ago
SUPERVISION RECEIVED:
Works under the general supervision of a higher grade.
EXAMPLES OF DUTIES:
Compiles and organizes large datasets from various sources, including electronic health records, patient charts, multiple administrative databases, patient surveys, and other pertinent sources;
Builds and maintains a valid, accurate and uniformed data repository to ensure data integrity and availability of appropriate data for evaluation needs;
Writes code from various sources to process raw data elements into metrics for analysis; selects and filters relevant information from multiple sources;
Applies critical thinking and logic to construct data sets to achieve accurate comparisons to benchmarks;
Collaborates with stakeholders to identify objectives and goals of analysis; coordinates and prioritizes analytic projects; manages and executes projects within targeted timelines;
Performs advanced statistical analyses to identify patterns and trends and opportunity assessments to assist in delivering optimal healthcare management and decision making;
Designs data visualizations and determines the best way to present data in a clear understandable format using reports, drilldowns, tables, gauges, graphs, charts and other intuitive graphical add-ons;
Prepares and delivers results to leadership with analytic insights, interpretations, and recommendations;
Performs other related duties as required.
KNOWLEDGE, SKILLS AND ABILITIES:
Considerable knowledge of health care industry standards and practices in descriptive/predictive analytics and reporting concepts;
Applied knowledge of statistical analyses including opportunity assessments, clinical and financial risk tracking, trend identification and predictive modeling exercises;
Advanced knowledge and proficiency of data management applications, Microsoft Office suite, data visualization tools, reporting tools, database programming languages, and related software and other applications; Advanced knowledge in importing data for use in report software, spreadsheets, graphs and flowcharts;
Strong analytical, mathematical, creative problem-solving and critical thinking skills with attention to detail;
Excellent verbal and written communication skills with considerable knowledge of proper grammar, punctuation and spelling;
Considerable interpersonal and collaboration skills with the ability to interact effectively in a team environment as well as independently;
Detailed oriented, excellent organizational, planning and prioritizing skills with flexibility and adaptability in a variety of work situations;
Proven ability to communicate complex data analytics using clear and concise methods and presentation media.
EXPERIENCE AND TRAINING:
GENERAL EXPERIENCE:
Six (6) years of experience in a healthcare data analytical role.
SUBSTITUTION ALLOWED:
Bachelor’s degree in computer science, information management systems, healthcare, mathematics, statistics or related field and two (2) years of experience may be substituted for general experience.
PREFERRED QUALIFICATIONS:
Proficiency in data engineering, analytics and visualization tools and techniques including SQL (complex queries, functions and stored procedures), Python, R and Tableau.
Minimum 2 years of experience with medical informatics, data engineering, data mining, machine learning, data ETL, optimization, and report extraction, using electronic health record data.
Experience with Epic electronic medical records platform.
Experience with data analytics related to value-based programs.
SCHEDULE:Â This position is full-time, Monday-Friday, 8:00am-5:00pm.
Why UConn Health
UConn Health is a vibrant, integrated academic medical center that is entering an era of unprecedented growth in all three areas of its mission: academics, research, and clinical care. A commitment to human health and well-being has been of utmost importance to UConn Health since the founding of the University of Connecticut schools of Medicine and Dental Medicine in 1961. Based on a strong foundation of groundbreaking research, first-rate education, and quality clinical care, we have expanded our medical missions over the decades. In just over 50 years, UConn Health has evolved to encompass more research endeavors, to provide more ways to access our superior care, and to innovate both practical medicine and our methods of educating the practitioners of tomorrow.
Job Features
SUPERVISION RECEIVED: Works under the general supervision of a higher grade. EXAMPLES OF DUTIES: Compiles and organizes large datasets from various sources, including electronic health records, patien…View more
Fraud Detection Specialist
Snowflake
Salary- $120K/yr – $150K/yr
Remote, Toronto
Posted 4 weeks ago
Fraud Detection Specialist — Full Role Description
Role overview A Fraud Detection Specialist identifies, prevents, and investigates fraudulent activity across transactions, accounts, user behavior, and systems. The role blends analytical investigation, real-time risk monitoring, and cross-functional coordination to reduce losses and protect customers and the business.
Key responsibilities
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Monitor real-time transactions and account activity; assess alerts, block or release decisions, and trigger additional verification when needed.
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Conduct end-to-end investigations: gather evidence, reconstruct timelines, identify modus operandi, document findings in case systems.
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Analyze trends in chargebacks, disputes, and incidents to refine rules, thresholds, and model features; reduce false positives.
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Operate and tune fraud tools: risk scoring systems, device/behavioral intelligence, rules engines, and ML-based detectors; propose new logic.
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Produce dashboards and reports on fraud metrics, losses, recovery, and emerging patterns; brief leadership and stakeholders.
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Collaborate with payments, risk, security, compliance/AML, SOC, and customer support; escalate high-severity cases and coordinate actions.
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Contribute to policy and process design: detections, reviews, KYC/KYB controls, dispute handling, and loss recovery procedures.
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Support remediation and recovery efforts: transaction reversals, account actions, customer outreach, and preventive control rollout.
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Track emerging threats (account takeover, synthetic IDs, mule networks) and advise on control gaps across products and processes.
Success outcomes
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Lower fraud losses and chargeback rates via faster, more precise interdiction.
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Reduced false positives and better customer experience through improved scoring and tuning.
-
Clear, auditable investigations with timely, actionable reporting.
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Proactive controls that address new fraud vectors before they scale.
Core skills and tools
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Data analysis: SQL, Excel/BI, familiarity with log and event data; ability to spot anomalies and links in large datasets.
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Fraud platforms: experience with real-time monitoring, rules engines, device/behavioral risk, identity verification, and chargeback tooling.
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Investigation: evidence collection, chain-of-custody awareness, case documentation, interviewing, and writing defensible reports.
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Communication: concise escalation notes, stakeholder briefings, and cross-team coordination under time pressure.
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Domain knowledge: card-not-present/payments, e-commerce and banking fraud typologies, disputes/chargebacks, compliance and AML touchpoints.
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Collaboration: partnering with fraud ops, risk, product, engineering, compliance, and customer care to operationalize controls.
Typical day
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Triage and review queued alerts; prioritize high-risk cases.
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Deep-dive investigations using device, behavioral, historical, and network data; decide block/release/escalate.
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Review dashboards for spikes, drift, or new patterns; propose rules or threshold changes.
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Coordinate with payments/ops on disputes and reimbursements; sync with security/compliance on significant incidents.
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Summarize trends and recommendations for management.
Advanced/technical track (optional but valuable)
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Machine learning: supervised/unsupervised detection, risk scoring, feature engineering, model performance and drift monitoring.
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Streaming and real-time decisioning: low-latency pipelines to evaluate transactions in milliseconds.
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Graph/network analytics: uncover mule rings, shared devices, collusive merchant/affiliate schemes.
Common fraud types
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Account takeover, identity theft, synthetic identity, payment card fraud, merchant/affiliate abuse, chargeback fraud, refund abuse, promotion abuse, bot-driven abuse, and social engineering impacts.
Career paths
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Progression into Fraud Strategy, Risk Analytics, Payments Risk, Threat Intelligence, AML/Financial Crime, or Security Operations leadership.
Role variants and titles
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Fraud Analyst, Fraud Prevention Specialist, Fraud Investigator, Fraud and Risk Analyst, Senior Fraud Analyst.
Why it matters now
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Rapid growth in digital payments and online services has expanded fraud attack surfaces. Effective specialists combine domain knowledge, analytics, and fast operations to reduce losses while minimizing customer friction, preserving trust and growth.
Job Features
Fraud Detection Specialist — Full Role Description Role overview A Fraud Detection Specialist identifies, prevents, and investigates fraudulent activity across transactions, accounts, user behavior,…View more
Salary- $150K/Yr – $180K/Yr
Remote
Posted 4 weeks ago
Machine Learning
The Safe-and-Sound team makes Spotify safe and enjoyable for every listener. From podcast recommendations to AI Playlists, we’re a part of some of Spotify’s most-loved features. We build Responsible AI solutions by understanding our music, podcasts and users better than anyone else. Join us and you’ll keep millions of users listening by making recommendations safe for each and every one of them.
What You’ll Do
- Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development
- Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways
- Prototype new approaches and production-ize solutions at scale for our hundreds of millions of active users
- Help drive optimization, testing, and tooling to improve quality
- Be part of an active group of machine learning practitioners in New York (and across Spotify) collaborating with one another
Who You Are
- You have a strong background in machine learning, with experience and expertise in personalized machine learning algorithms, especially recommender systems.
- You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with XGBoost, TensorFlow is also a plus.
- You care about agile software processes, data-driven development, reliability, and disciplined experimentation
Where You’ll Be
- We are a distributed workforce enabling our band members to find a work mode that is best for them!
- Where in the world? For this role, it can be within the Americas region in which we have a work location
- Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
- Working hours? We operate within the Eastern Standard time zone for collaboration
Our global benefits
Extensive learning opportunities, through our dedicated team, GreenHouse.
Flexible share incentives letting you choose how you share in our success.
Global parental leave, six months off – fully paid – for all new parents.
All The Feels, our employee assistance program and self-care hub.
Flexible public holidays, swap days off according to your values and beliefs.
Learn about life at Spotify
The United States base range for this position is $136,878- $195,540 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.
Job Features
Machine Learning The Safe-and-Sound team makes Spotify safe and enjoyable for every listener. From podcast recommendations to AI Playlists, we’re a part of some of Spotify’s most-loved features. W…View more
Salary- $120K/yr – $150K/yr
Remote
Posted 4 weeks ago
Title: Cloud Security Engineer
Location: Hybird
Resource Proposal for Cloud Security Engineer – Integration Modernization Initiative Project Name: Integration Modernization Resource Requirement: Cloud Security Engineer – Contractor Key Technologies Involved: TIBCO, APIGEE, Kafka, and other integration tools (TBD)
Executive Summary The Integration Modernization initiative aims to enhance Ulta’s capabilities by modernizing existing systems, optimizing processes, and enabling seamless communication across various platforms, focusing on a move to Google Cloud Platform (GCP). As part of this effort, we will integrate a range of tools and technologies, including TIBCO, APIGEE, Kafka, and additional integration platforms (TBD) over the next 12 months. Scope of Work The Cloud Security Engineer will work closely with the Integration Modernization team to design, implement, and monitor security measures across various integration tools. They will ensure the integrity, confidentiality, and availability of data as it flows between systems. The security engineer will also assist in defining policies and best practices for integrating TIBCO, APIGEE, Kafka, and any future tools. This role will involve both strategic planning and tactical implementation. Key responsibilities include:
- Security Assessment and Risk Management:
- Conduct security risk assessments for integration tools (TIBCO, APIGEE, Kafka, etc.)
- Identify and mitigate potential vulnerabilities in cloud-based architectures.
- Ensure proper encryption and key management protocols are in place.
- Architecture and Design:
- Collaborate with solution architects to design secure integration architectures, ensuring proper authentication, authorization, and data protection across the platforms.
- Work with cross-functional teams to integrate security into DevOps pipelines, CI/CD workflows, and API lifecycle management.
- Tool and Platform Security:
- Ensure security configurations of TIBCO, APIGEE, Kafka, and other integration tools are aligned with industry standards and organizational policies.
- Manage security integrations with Ulta’s identity management systems.
- Monitoring and Incident Response:
- Set up continuous monitoring for security events and anomalies across the integration platforms.
- Respond to security incidents and provide remediation guidance in the event of breaches or vulnerabilities.
- Compliance and Auditing:
- Ensure compliance with relevant industry standards and regulations (e.g., GDPR, HIPAA, SOC 2, etc.) for the tools and services in use.
- Conduct regular audits of security controls and recommend improvements as needed.
- Documentation and Knowledge Transfer:
- Maintain up-to-date security documentation for each platform transferring monitoring and incident response to the Security Operations Center.
- Conduct knowledge transfer sessions for the wider IT and security teams to ensure ongoing security practices are followed.
Resource Justification The integration modernization initiative is crucial for maintaining competitive advantages and supporting the company’s strategic goals. As the organization adopts new cloud-based tools and integrates multiple platforms, securing these technologies is critical to minimizing risks associated with data breaches, cyberattacks, and regulatory non-compliance. Given the breadth of tools involved, including TIBCO, APIGEE, and Kafka, a dedicated Cloud Security Engineer is required to ensure that security considerations are fully embedded into every phase of the integration process. Their expertise will not only safeguard the organization’s assets but will also promote efficiency by proactively addressing potential security gaps before they evolve into major issues.
Skills and Experience Required The ideal candidate will have a combination of the following skills and experience: Technical Skills:
- Cloud Security Expertise:Â Experience securing cloud-based architectures, including AWS, Azure, or Google Cloud.
- Integration Platforms: Deep knowledge of integration tools such as TIBCO, APIGEE, and Kafka with a focus on security.
- API Security:Â Expertise in securing APIs using industry-standard protocols (OAuth 2.0, OpenID Connect, JWT, etc.).
- Network Security:Â Knowledge of securing microservices, messaging systems, and network communication in hybrid and multi-cloud environments.
- Identity and Access Management (IAM):Â Experience implementing IAM solutions for integration platforms, including SSO, RBAC, and MFA.
- DevSecOps:Â Familiarity with CI/CD pipelines and automating security controls within development processes.
Job Features
Title: Cloud Security Engineer Location: Hybird Resource Proposal for Cloud Security Engineer – Integration Modernization Initiative Project Name: Integration Modernization Resource Requirement:…View more
Platform Engineer
Prudential
Salary- $92K/yr – $144K/yr
Remote
Posted 4 weeks ago
Location: Remote
You will code, test and debug new and existing applications as you implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences. In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do.
Requirements: Craft the business logic and integration patterns with Prudential Ecosystem, using modern integration, data, and security patterns. Write unit, integration tests and functional automation, researching problems discovered by quality assurance or product support, developing solutions to address the problems. Bring an applied understanding of relevant and emerging technologies, begin to identify opportunities to provide input to the team and coach others, and embed learning and innovation in the day-to-day The Skills & Expertise You Bring: Minimum of 3 years’ experience in Fast Configuration and Development Bachelor of Computer Science or Engineering or experience in related fields Leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization. Programming Languages:  Core Platforms & Languages: FAST – Full Stack + FASTJob Features
Location: Remote You will code, test and debug new and existing applications as you implement capabilities to solve sophisticated business problems, deploy innovative products, services and experience…View more
Salary- $120K/yr – $150K/yr
Hybrid
Posted 4 weeks ago
Job Description:
We are looking for a DevOps Engineer with a passion for astronomy and space technology to join our team. In this role, you will work closely with astronomers, astrophysicists, and data scientists to develop, deploy, and manage scalable infrastructure for astronomical data processing, observatory automation, and space research applications.
Key Responsibilities:
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Design, implement, and maintain CI/CD pipelines for astronomical software and data processing workflows.
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Manage and optimize cloud-based infrastructure (AWS, Azure, or Google Cloud) for large-scale space data storage and analysis.
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Automate deployment, scaling, and monitoring of telescope control systems, astrophysics simulations, and satellite operations.
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Collaborate with scientists and engineers to integrate DevOps best practices into astronomical research projects.
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Implement containerization and orchestration (Docker, Kubernetes) for astronomical data pipelines.
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Enhance system reliability, security, and performance for astronomical observatories and space missions.
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Develop and maintain infrastructure as code (Terraform, Ansible, or CloudFormation).
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Monitor and troubleshoot system performance and astronomical data processing jobs.
Requirements:
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Bachelor’s or Master’s degree in Computer Science, Astronomy, Astrophysics, or related fields.
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3+ years of experience in DevOps, SRE, or Cloud Engineering.
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Proficiency in Linux, Shell scripting, Python, or Golang.
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Experience with cloud services (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
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Knowledge of big data processing (Hadoop, Spark, or Apache Airflow) for handling astronomical datasets.
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Familiarity with astronomical data formats (FITS, HDF5) and scientific computing tools.
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Passion for space exploration, astronomy, or satellite technology.
Preferred Qualifications:
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Experience working with astronomical observatories, space agencies, or research institutes.
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Understanding of radio astronomy, optical telescopes, or space mission software.
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Contributions to open-source projects related to space science or DevOps.
Benefits:
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Work on cutting-edge space and astronomy projects.
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Collaborate with leading scientists and space agencies.
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Competitive salary and flexible work environment.
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Opportunity to contribute to groundbreaking astronomical discoveries.
Job Features
Job Description: We are looking for a DevOps Engineer with a passion for astronomy and space technology to join our team. In this role, you will work closely with astronomers, astrophysicists, and dat…View more
Penetration Tester (App Layer)
GoEngineer
Salary- $80K/yr – $100K/yr
Onsite
Posted 4 weeks ago
Key Responsibilities:
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Plan and execute penetration tests on web, mobile, and API applications.
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Simulate real-world attack scenarios to expose vulnerabilities.
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Document findings and communicate remediation steps to developers.
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Stay updated on the latest hacking tools, techniques, and vulnerabilities.
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Assist in the development of secure coding practices based on test results.
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Support compliance and audit activities through thorough reporting.
A Penetration Tester (App Layer) specializes in uncovering and helping fix vulnerabilities in application code and architecture. By simulating attacks, they identify weaknesses that could be exploited by real hackers. Their work helps organizations understand and address risks, ensuring applications remain resilient to current and evolving threats. In addition to technical testing, they play a key role in educating teams about securing the application stack.
Job Features
Key Responsibilities: Plan and execute penetration tests on web, mobile, and API applications. Simulate real-world attack scenarios to expose vulnerabilities. Document findings and communicate remedia…View more
Salary- $120K/yr – $150K/yr
Hybrid, Remote
Posted 4 weeks ago
Title: PowerBI Data Analyst
Location: Hybrid
Hiring Manager Notes:
- Please make sure that candidates have been using PowerBI, SQL, and Python on a weekly basis for the past 5+ years.
- Excellent communication is essential. This Statistician will:
- 1. Require a working knowledge of formal statistical analysis and causal modeling.
- 2. Use SQL to manipulate and model data.
- 3. Use Python or R perform statistical and causal modeling; create visualizations;
- 4. Use Tableau to create interactive visualizations
- We need strong Statistical Analysis candidate with hands on Tableau exp.
- We are actively looking for a data scientist. Any data scientist should have experience with ML and building visualizations. (If they don’t have ML experience, they are a data analyst; not a data scientist.) The technology they use might vary, so I am looking for ones with experience in python, SQL, and Tableau.
- Please make sure that candidates have been using Tableau, SQL, and Python on a weekly basis for the past 5+ years
- Excellent communication is essential
- Use Tableau to create visualizations
- Use SQL to manipulate and model data
- Use python to manipulate and model data; create visualizations;
- Require a working knowledge of formal statistical analysis and causal modeling
- Require excellent communication skills
Job Features
Title: PowerBI Data Analyst Location: Hybrid Hiring Manager Notes: Please make sure that candidates have been using PowerBI, SQL, and Python on a weekly basis for the past 5+ years. Excellent communic…View more
Senior Data Analyst
Meta Reality Labs
Salary- $150K/Yr – $180K/Yr
Hybrid
Posted 1 month ago
Title: Senior Data Analyst
Location: Hybrid
About the Role (Meta-specific):
In this role, you will play a crucial part in driving data-driven decision-making within our sales organization. You will be a key partner to the channel lead, providing analytical support and insights that inform sales strategies and optimize our go-to-market approach. The ideal candidate possesses a strong analytical mindset, excellent communication skills, and a passion for leveraging data to drive business growth within the retail and hard goods sector.Responsibilities:
- Collaboration with Data Science/Engineering: Work closely with Meta Reality Labs’ data science and engineering teams to communicate sales reporting needs, provide guidance on tooling requirements, and ensure alignment between data capabilities and business objectives.
- Rhythm of Business Reporting: Develop and maintain continuous reporting processes that provide a clear and comprehensive view of Reality Labs’ business performance. Focus on agility and identify how business operations impact sales outcomes. Create impactful data visualizations to effectively communicate key metrics and trends to stakeholders.
- Insights to Action:Â Conduct ad hoc analyses to address specific business questions and challenges. Apply critical thinking and sales analytics expertise to develop data-driven recommendations for senior sales leaders. Propose adjustments to sales models to optimize operational plans and identify areas for efficiency improvement.
Qualifications:
- Strong analytical and problem-solving skills with a proven ability to translate data into actionable insights.
- Proficiency in SQL and data visualization tools (e.g., Tableau, Power BI).
- Excellent communication and interpersonal skills with the ability to effectively collaborate with cross-functional teams. Â Â
- Experience working with large datasets and cloud-based data platforms.
Preferred Qualifications in any of this:
- Experience in one or more of the following channels:
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- Direct to Consumer
- Business-to-Business
- Commercial Sales
- Familiarity with statistical modeling techniques.
- Experience with data storytelling and presentation skills.
Job Features
Title: Senior Data Analyst Location: Hybrid About the Role (Meta-specific): In this role, you will play a crucial part in driving data-driven decision-making within our sales organization. You will be…View more
Salary- $120K/yr – $150K/yr
Hybrid
Posted 1 month ago
Additional Links:
- This position is Benefit eligible; click here for an overview of available benefits.
- This position is covered by the UHP Bargaining Unit and is in salary group UHP-09; click here to review the current UHP Pay Plan.
- This position is covered by the UHP Bargaining Unit; click here to review the current UHP Contract.
- UConn Health
PURPOSE OF CLASS:
At UConn Health, this class is accountable for organizing and managing large and varied data sets; analyzing complex data to optimize business operations and identify trends for improvement; and communicating findings into meaningful understanding using data visualization and detailed reports.
**Please note, this position requires you on-site at our Farmington, Connecticut location and does not accept visa’s or candidates that cannot relocate to Connecticut at this time.
SUPERVISION RECEIVED:
Works under the general supervision of a higher grade.
EXAMPLES OF DUTIES:
Compiles and organizes large datasets from various sources, including electronic health records, patient charts, multiple administrative databases, patient surveys, and other pertinent sources;
Builds and maintains a valid, accurate and uniformed data repository to ensure data integrity and availability of appropriate data for evaluation needs;
Writes code from various sources to process raw data elements into metrics for analysis; selects and filters relevant information from multiple sources;
Applies critical thinking and logic to construct data sets to achieve accurate comparisons to benchmarks;
Collaborates with stakeholders to identify objectives and goals of analysis; coordinates and prioritizes analytic projects; manages and executes projects within targeted timelines;
Performs advanced statistical analyses to identify patterns and trends and opportunity assessments to assist in delivering optimal healthcare management and decision making;
Designs data visualizations and determines the best way to present data in a clear understandable format using reports, drilldowns, tables, gauges, graphs, charts and other intuitive graphical add-ons;
Prepares and delivers results to leadership with analytic insights, interpretations, and recommendations;
Performs other related duties as required.
KNOWLEDGE, SKILLS AND ABILITIES:
Considerable knowledge of health care industry standards and practices in descriptive/predictive analytics and reporting concepts;
Applied knowledge of statistical analyses including opportunity assessments, clinical and financial risk tracking, trend identification and predictive modeling exercises;
Advanced knowledge and proficiency of data management applications, Microsoft Office suite, data visualization tools, reporting tools, database programming languages, and related software and other applications;
Advanced knowledge in importing data for use in report software, spreadsheets, graphs and flowcharts;
Strong analytical, mathematical, creative problem-solving and critical thinking skills with attention to detail;
Excellent verbal and written communication skills with considerable knowledge of proper grammar, punctuation and spelling;
Considerable interpersonal and collaboration skills with the ability to interact effectively in a team environment as well as independently;
Detailed oriented, excellent organizational, planning and prioritizing skills with flexibility and adaptability in a variety of work situations;
Proven ability to communicate complex data analytics using clear and concise methods and presentation media.
EXPERIENCE AND TRAINING:
GENERAL EXPERIENCE:
Six (6) years of experience in a healthcare data analytical role.
SUBSTITUTION ALLOWED:
Bachelor’s degree in computer science, information management systems, healthcare, mathematics, statistics or related field and two (2) years of experience may be substituted for general experience.
PREFERRED QUALIFICATIONS:
Proficiency in data engineering, analytics and visualization tools and techniques including SQL (complex queries, functions and stored procedures), Python, R and Tableau.
Minimum 2 years of experience with medical informatics, data engineering, data mining, machine learning, data ETL, optimization, and report extraction, using electronic health record data.
Experience with Epic electronic medical records platform.
Experience with data analytics related to value-based programs.
SCHEDULE:Â This position is full-time, Monday-Friday, 8:00am-5:00pm.
Why UConn Health
UConn Health is a vibrant, integrated academic medical center that is entering an era of unprecedented growth in all three areas of its mission: academics, research, and clinical care. A commitment to human health and well-being has been of utmost importance to UConn Health since the founding of the University of Connecticut schools of Medicine and Dental Medicine in 1961. Based on a strong foundation of groundbreaking research, first-rate education, and quality clinical care, we have expanded our medical missions over the decades. In just over 50 years, UConn Health has evolved to encompass more research endeavors, to provide more ways to access our superior care, and to innovate both practical medicine and our methods of educating the practitioners of tomorrow.
Job Features
Additional Links: PURPOSE OF CLASS: At UConn Health, this class is accountable for organizing and managing large and varied data sets; analyzing complex data to optimize business operations and identi…View more
Salary- $180K/Yr – $225K/Yr
Remote, United States
Posted 1 month ago
Why IQVIA
This role will be dedicated to one of IQVIA’s largest clients through a Functional Service Provider (FSP) type partnership. This means you get all the benefits of working for an industry leading global CRO while operating within a sponsor environment and utilizing sponsor systems. These sponsor clients include world class pharmaceutical and biotech companies offering you a unique opportunity to work on a team where your role is both challenging and rewarding, while working alongside colleagues who are passionate about influencing the future of medicine and advancing therapies. With IQVIA’s FSP business unit, you become a core part of a dynamic team dedicated to reshaping the future of healthcare.
Additional Benefits:
- Home-based remote work opportunities
- Great work/life balance
- Collaborate on projects and innovations with industry leaders in the Pharma and CRO sectors
- Cohesive team environment fostering a collaborative approach to study work
- Variety of therapeutic areas, indications and, study phases
- Job stability; long-term engagements and development opportunities
- Career advancement opportunities
- Develop, test, and validate clinical data programs and applications.
- Ensure compliance with CDISC SDTM standards for clinical data.
- Utilize visualization tools such as Spotfire or other similar tools to create insightful data visualizations.
- Write and maintain Python scripts for data manipulation and analysis.
- Collaborate with cross-functional teams to support clinical data needs.
- Provide technical guidance and mentorship to junior programmers.
- Participate in the development and implementation of data management plans.
- Troubleshoot and resolve programming issues in a timely manner.
- Bachelor’s or master’s degree in computer science, Statistics, Data Science, or a related field
- Minimum 5+ years’ hands-on experience in clinical trials or life sciences industry
- 3+ years’ extensive experience in clinical data programming and Data Visualization using tools such as Python, Spotfire, or similar.
- Python programming skill is Mandatory.
- Experience with PySpark, Databricks is preferred.
- Proficiency in CDISC SDTM standards.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities.
- Ability to work independently and manage multiple tasks simultaneously.
Job Features
Why IQVIA This role will be dedicated to one of IQVIA’s largest clients through a Functional Service Provider (FSP) type partnership. This means you get all the benefits of working for an industry l…View more
Salary- $101K/yr – $168K/yr
Remote
Posted 1 month ago
The Company
Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). Dexcom began as a small company with a big dream: To forever change how diabetes is managed. To unlock information and insights that drive better health outcomes. Here we are 25 years later, having pioneered an industry. And we’re just getting started. We are broadening our vision beyond diabetes to empower people to take control of health. That means personalized, actionable insights aimed at solving important health challenges. To continue what we’ve started: Improving human health.
We are driven by thousands of ambitious, passionate people worldwide who are willing to fight like warriors to earn the trust of our customers by listening, serving with integrity, thinking big, and being dependable. We’ve already changed millions of lives and we’re ready to change millions more. Our future ambition is to become a leading consumer health technology company while continuing to develop solutions for serious health conditions. We’ll get there by constantly reinventing unique biosensing-technology experiences. Though we’ve come a long way from our small company days, our dreams are bigger than ever. The opportunity to improve health on a global scale stands before us.
Meet the team:
As a Digital Marketing Analytics Manager, you will be responsible for the analytics maintenance, insights, and reporting of our eCommerce website and ancillary digital channels. A successful candidate typically possesses a blend of technical skills, analytical prowess, and strategic thinking. Your insights will be critical in shaping our digital marketing experiences on the website and optimizing conversion rates across the checkout funnel through A/B testing and personalization. Where you come in:- You will analyze performance data from ecommerce platforms to understand customer behavior, sales trends, and digital content performance.
- You build and maintain detailed reports and dashboards to supervise key performance indicators (KPIs) across disparate data sources, with a focus on ecommerce and website channel traffic metrics.
- You will identify opportunities for improving conversion rates across web and engagement channels and implement strategies to improve user experience and increase sales.
- You will craft, implement, and analyze A/B tests to optimize marketing strategies and tactics and personalize the site experience, particularly for ecommerce.
- You will provide actionable insights and recommendations to drive sales, new user acquisition, and ecommerce conversion rates (desktop and mobile).
- You will lead operations through Google Tag Manager (and collaboration with developers when needed) to ensure tracking and reporting of marketing activities are accurate and follow Dexcom consent guidelines.
- You will ensure data accuracy and integrity across all marketing platforms and tools.
What makes you successful:
- You bring a minimum of 4-6 years of experience in digital marketing analytics or a related role, in-house or agency setting.
- You are proficient with analytics tools such as Google Analytics 4, Google Tag Manager, and data visualization tools like Tableau or Power BI.
- You have experience with testing and personalization solutions, like VWO, Google Optimize, or similar.
- You exhibit strong analytical and problem-solving skills with the ability to interpret sophisticated data and provide actionable insights.
- You have excellent verbal and written communication skills, with the ability to present data and insights to non-technical stakeholders.
- You exhibit high attention to detail in analysis and reporting.
- You bring outstanding interpersonal/diplomatic skills, the ability to trust and credibility, and a history of driving results through influence at all levels of the organization.
- You have a clear track record of leading across multiple projects, making smart and fast decisions, partnering cross-functionally, delighting collaborators, and driving dramatic growth through successful content marketing strategies and execution in a fast-paced environment.
- You exhibit a strong desire to learn quickly and to work independently with minimal direction, while also functioning and contributing as part of a team.
Experience and Education Requirements:
- Typically requires a Bachelor’s degree with 8-12 years of related experience.
- At this level a graduate degree may be desireable with 4 years of related experience.
What you’ll get:
- A front row seat to life changing CGM technology. Learn about our brave #dexcomwarriors community .
- A full and comprehensive benefits program.
- Growth opportunities on a global scale!
- Access to career development through in-house learning programs and/or qualified tuition reimbursement.
- An exciting and innovative, industry-leading organization committed to our employees, customers, and the communities we serve.
Job Features
The Company Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). Dexcom began as a small company with a big dream: To forever change how diabetes is …View more
Data Quality Assurance Analyst
2020 Companies
Salary- $80K/yr – $100K/yr
Texas
Posted 1 month ago
2020 Companies is now hiring a full-time remote Data Quality Assurance Analyst
The Data Quality Assurance Analyst plays a vital role in ensuring the accuracy, integrity, and reliability of data flowing through our systems which is ultimately used for critical internal and external reporting. This individual will collaborate closely with the I/S and business analytics teams to implement and maintain robust data quality processes, identify and resolve data discrepancies, and contribute to a culture of data-driven decision-making.
What’s in it for you?
- Work remotely
- Competitive annual salary, paid weekly
- Next day pay on-demand with DailyPay
- Health/Dental/Vision benefits
- 401K Program with matching
- Paid Time Off
- Paid Holidays
- $30 Mobile Reimbursement
- Scholarship opportunities for employees and direct family members
- Employee Assistance Program
- Leadership Development Program
- Develop, implement, and maintain comprehensive data quality assurance processes, including data profiling, data validation, and data cleansing.
- Collaborate with I/S and business analytics teams to establish data quality standards, metrics, and KPIs.
- Conduct regular data audits and assessments to identify and address data quality issues.
- Develop and execute test cases to ensure data accuracy throughout the data lifecycle.
- Monitor data ingestion, calculations, manipulation, and outputs within Salesforce to ensure data integrity.
- Work with stakeholders to define and implement data quality improvement initiatives.
- Analyze complex data sets to identify trends, patterns, and anomalies.
- Generate reports and visualizations to communicate data quality findings and recommendations to stakeholders.
- Collaborate with business users to understand data requirements and ensure data quality meets their needs.
- Support the development of data-quality dashboards and scorecards.
- Build and maintain strong working relationships with I/S, business analytics, and other key stakeholders.
- Facilitate effective communication and collaboration across teams to promote data quality awareness and best practices.
- Provide training and support to users on data quality processes and tools.
- Stay abreast of industry best practices and emerging trends in data quality management.
- Research and evaluate new data quality tools and technologies.
- Proactively identify opportunities for process improvement and automation.
- Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related field.
- 3+ years of experience in data quality assurance or a related role.
- Strong understanding of data management principles, data warehousing, and ETL processes.
- Experience working with Salesforce or other CRM systems is preferred.
- Proficiency in SQL and data analysis tools.
- Experience with data visualization tools (e.g., Power BI) is recommended.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and accuracy.
- Effective communication and collaboration skills.
- Ability to work independently and as part of a team.
- Ability to manage multiple priorities and meet deadlines.
- Proactive and results-oriented approach.
Job Features
2020 Companies is now hiring a full-time remote Data Quality Assurance Analyst The Data Quality Assurance Analyst plays a vital role in ensuring the accuracy, integrity, and reliability of data flowin…View more
Sr Data Scientist
UnitedHealthcare
Salary- $190K/Yr – $220K/Yr
Remote
Posted 1 month ago
At UnitedHealthcare, we’re simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and equitable. Ready to make a difference? Join us to start Caring. Connecting. Growing together.
We invite you to bring your performance, ideas and innovations to an elite team within a culture built for collaboration. At UnitedHealth Group, we seek individuals who have the ability to drive change, take appropriate risks and influence individuals at all levels of the organization. We are seeking a talented and driven Senior Data Scientist to join our high performing Medicare and Retirement Government Quality Programs team, focusing on improving member experience and driving performance in CAHPS (Consumer Assessment of Healthcare Providers and Systems) star measures. In this role, you will leverage cutting-edge technologies, advanced statistical methods, and machine learning techniques to deliver actionable insights and recommendations that influence key organizational decisions. As a subject matter expert, you will collaborate with cross-functional teams to design and implement analytical solutions that optimize healthcare outcomes and transform the member experience. As a subject matter expert, the data scientist will recommend best approaches to transform the healthcare industry. Join us.
You’ll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
- Perform advanced data analytics to identify insights that can be incorporated into strategic recommendations for improving member health care experience
- Work in a cross-disciplinary environment to embed analytics into strategies that address business problems through data-driven solutions
- Develop solid relationships with stakeholders to define business questions, develop hypotheses and design experiments to improve member outcomes
- Clearly communicate complex findings and make recommendations to non-technical stakeholders
- Support data acquisition and integration necessary to execute analytics projects
- Understand and explain drivers of survey outcomes
- Bring disparate data together with knowledge of health care and government policy to develop and communicate sound business recommendations to leaders throughout the organization
- Provide guidance to junior level data scientists on best practices and methodologies
- Self-motivated and demonstrates an innate ability to absorb new concepts, technical frameworks, program paradigms while employing them creatively to solve complex analytical problems
- Critical thinker- this position will need to evaluate merits of new and innovative ideas and make sound decisions
- 4+ years of professional experience in developing analytical solution using techniques such as machine learning, text mining/analysis, simulations, hypothesis testing, etc.
- 3+ years of professional experience with programming languages
- 3+ years of professional experience applying data analysis to solve business problems
- 2+ years of professional experience communicating analytic results to stakeholders
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-
- Experience with Medicare Advantage products or the healthcare industry
- Experience working with survey data
- Proven solid communicator – this role will need to be comfortable presenting program objectives, process, and performance in multiple setting
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Job Features
At UnitedHealthcare, we’re simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people …View more











