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Salary- $80K/yr – $100K/yr
Remote
Posted 1 week 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: 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

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Salary- $190K/Yr – $220K/Yr
Remote
Posted 1 week ago

Key Responsibilities:

1. Laboratory & Environmental Monitoring

  • Assist with the preparation, execution, and documentation of environmental lab experiments (e.g., water/soil/air testing).

  • Collect, label, and store environmental samples in accordance with safety and regulatory protocols.

  • Operate and maintain lab equipment and environmental monitoring instruments (e.g., spectrometers, gas analyzers, IoT sensors).

2. Data Science & AI Integration

  • Preprocess and analyze lab-generated data using Python, R, or relevant data tools.

  • Collaborate with data scientists to implement AI/ML models that forecast environmental patterns or detect anomalies.

  • Manage environmental data pipelines and assist in building dashboards for real-time monitoring and reporting.

3. Cybersecurity & Data Integrity

  • Monitor and secure lab devices and data systems, particularly those connected to external networks or cloud environments.

  • Implement cybersecurity practices such as data encryption, user access control, and incident response protocols.

  • Conduct regular audits to ensure compliance with data privacy laws (e.g., GDPR, EPA data regulations).

 

Required Qualifications:

  • Associate or Bachelor’s degree in Environmental Science, Computer Science, Cybersecurity, or a related field.

  • Experience in a lab setting with a basic understanding of environmental testing protocols.

  • Proficiency in Python, SQL, or R for data processing and analysis.

  • Knowledge of AI/ML concepts and experience using AI tools or platforms.

  • Understanding of cybersecurity principles, including data protection, network security, and risk assessment.

 

Preferred Qualifications:

  • Certifications such as CompTIA Security+, GIAC, or Certified Lab Technician.

  • Familiarity with cloud platforms (AWS, Azure) used for environmental data storage.

  • Experience working with IoT or smart sensor technology for environmental monitoring.

 

Soft Skills:

  • Strong attention to detail and analytical mindset.

  • Ability to communicate technical findings to interdisciplinary teams.

  • Willingness to learn and adapt to emerging technologies in environmental science and cybersecurity.

 

Work Environment:

  • Work is performed in both laboratory and office settings.

  • May involve exposure to environmental samples and chemical substances.

  • Hybrid or on-site work depending on organizational needs.

 

Potential Employers:

  • Environmental research labs

  • Government agencies (e.g., EPA, NOAA)

  • Environmental tech startups

  • Universities and academic research institutions

  • Utility and energy companies

Job Features

Job Category

Cyber Security, Data Science

Key Responsibilities: 1. Laboratory & Environmental Monitoring Assist with the preparation, execution, and documentation of environmental lab experiments (e.g., water/soil/air testing). Collect, l…View more

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Salary- $79K/yr – $125K/yr
Hybrid
Posted 2 weeks ago

What You’ll Do (Responsibilities)

  • Develop and maintain backend services and applications using .NET / C# (or similar .NET technologies).

  • Design, build and manage CI/CD pipelines (continuous integration / continuous deployment) to enable rapid and reliable delivery of software. Second Talent+2Simplilearn.com+2

  • Automate infrastructure provisioning and configuration using Infrastructure-as-Code (IaC) tools (e.g. Terraform, ARM templates, scripts). Pitch N Hire+2Expertia+2

  • Work with cloud environments — ideally Microsoft Azure (or AWS / other cloud) — provisioning, deploying and maintaining services, managing containers or virtual machines, handling scaling, networking, storage, etc. Simplilearn.com+2Accenture+2

  • Use containerization and orchestration tools (e.g. Docker, Kubernetes / AKS / equivalent) for deploying microservices or modular applications. Simplilearn.com+1

  • Integrate development, operations and possibly AI/ML workflows — e.g. helping deploy AI-powered backend services, AI-assisted tooling, or AI-driven features together with .NET microservices. (For example, “Software Engineer – .NET / AI-Assisted Tools” roles at large tech orgs.) Reddit+2Microsoft Careers+2

  • Collaborate with cross-functional teams: developers, QA, operations, maybe data/ML teams. Ensure smooth handoffs between development and operations (DevOps culture), while supporting reliability, scalability and security. Second Talent+2Simplilearn.com+2

  • Troubleshoot, debug and resolve deployment, performance, and infrastructure issues. Monitor system health, logs, and performance; implement alerting/monitoring as needed. Expertia+1

  • Write and maintain documentation for infrastructure, pipelines, deployment processes, configuration, and release procedures.

hat We’re Looking For (Qualifications & Skills)

  • Bachelor’s degree in Computer Science, Engineering, or equivalent.

  • ~2–3 years of hands-on experience building .NET applications or services (C#, .NET Core / .NET 6+, ASP.NET or similar).

  • Experience or strong interest in DevOps practices: CI/CD, version control (e.g. Git), automated builds/deployments, release management.

  • Basic to intermediate knowledge of cloud platforms — ideally Azure, but AWS/GCP is also valuable. Experience with provisioning, deploying, managing cloud infrastructure.

  • Familiarity with infrastructure-as-code (IaC) tools / scripts (Terraform / ARM templates / scripting).

  • Working knowledge of containerization (Docker) and ideally orchestration (Kubernetes + cloud-managed Kubernetes / AKS / similar).

  • Basic to moderate scripting skills (e.g. PowerShell, Bash, Python) to automate tasks and workflows.

  • Understanding of software lifecycle, version control, collaboration across teams (dev, QA, ops), and DevOps culture.

  • Good communication and collaboration skills — ability to work with multiple teams (dev, QA, security, ops).

  • Bonus / desirable: interest or exposure to AI/ML — e.g. building or deploying AI-related services, integrating AI-assisted tools or features, familiarity with ML workflow or libraries (though not mandatory).

Why This Role Can Offer High Compensation (e.g. US-based $190–$220 K)

  • Companies combining .NET backend engineering + cloud-native DevOps + AI/ML deployment are dealing with high-complexity, high-impact systems — often at global scale. That makes the skillset rare and valuable.

  • Expertise in both software development and DevOps (cloud, CI/CD, IaC, containerization) is in high demand.

  • When combined with AI or AI-assisted tooling — the value and potential impact increases; companies pay premium for engineers who can bridge DevOps + software + AI stack.

  • Top tech companies (especially in US or global-remote context) often compensate accordingly for mid-level engineers with this blended skillset.

Job Features

Job Category

.NET Developer, Software Engineering

What You’ll Do (Responsibilities) Develop and maintain backend services and applications using .NET / C# (or similar .NET technologies). Design, build and manage CI/CD pipelines (continuous integrat…View more

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Salary- $150K/Yr – $180K/Yr
Remote
Posted 2 weeks ago
Position: Cybersecurity Engineer Education: Bachelor’s degree in computer science, information systems, engineering, or a related scientific or technical discipline. Overview: Kreative Technologies is in search of a cyber-security engineer with extensive experience within the Department of Defense (DoD) who can work independently to perform certification and accreditation (C&A) efforts to achieve Authority to Operates (ATO) accreditations, perform risk assessments (RA) and annual reviews (AR). Responsibilities:
  • Assist in the preparation and revision of IA policy and guidance documents for specific cyber-security related technologies.
  • Provide critical written and verbal analysis of systems documentation and vulnerability reports and risk assessments.
  • Provide C&A support to include interpreting Security Technical Implementation Guidance (STIGs) evaluation for DoD Information Assurance Certification and Accreditation (DIACAP) and Risk Management Framework (RMF).
  • Review vulnerability assessments, system security plans, and continuity of operations.
  • Plan (COOP) artifacts for compliance.
  • Provide input to ad-hoc requests as well as weekly and monthly project status reports.
Education/Skills/ Minimum Qualifications:
  • 4+ years of direct experience with cyber security requirements (IA Controls)
  • 4+ years of experience working within DoD Services or Agencies
  • 4+ years of experience resolving security findings discovered on network devices and operating systems
  • 4+ year C&A package review for CA/DAA making risk-based recommendations.
  • Excellent oral and written communication skills
Kreative Technologies is an equal opportunity employer and is committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business. Kreative Technologies does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. Accommodations are available for applicants with disabilities.

Job Features

Job Category

Cyber Security, Cybersecurity Engineer

Position: Cybersecurity Engineer Education: Bachelor’s degree in computer science, information systems, engineering, or a related scientific or technical discipline. Overview: Kreative Technol…View more

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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

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Salary- $180K/Yr – $225K/Yr
Remote
Posted 3 weeks ago

Role Overview:

We are seeking a skilled Data Scientist to join our dynamic team, focusing on the intersection of artificial intelligence (AI), cybersecurity, and forecasting. This role involves developing predictive models to anticipate cyber threats and enhance security protocols, leveraging AI and machine learning techniques.

Key Responsibilities:

  • Predictive Modeling: Develop and implement machine learning models to forecast potential cybersecurity threats and vulnerabilities.

  • Data Analysis: Analyze large datasets to identify patterns and anomalies related to security incidents.

  • AI Integration: Integrate AI solutions into existing cybersecurity frameworks to improve threat detection and response times.

  • Collaboration: Work closely with cybersecurity analysts, IT teams, and stakeholders to align data science initiatives with security objectives.

  • Reporting: Generate comprehensive reports and visualizations to communicate findings to technical and non-technical audiences.

Required Qualifications:

  • Educational Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Cybersecurity, or a related field.

  • Technical Skills:

    • Proficiency in programming languages such as Python or R.

    • Experience with machine learning frameworks (e.g., TensorFlow, scikit-learn).

    • Familiarity with cybersecurity concepts and tools.

  • Analytical Skills: Strong ability to analyze complex datasets and derive actionable insights.

  • Communication Skills: Excellent written and verbal communication skills to convey technical information clearly.

Preferred Qualifications:

  • Certifications: Relevant certifications such as Certified Information Systems Security Professional (CISSP) or Certified Ethical Hacker (CEH).

  • Experience: Prior experience in a cybersecurity-focused data science role.

  • Tools: Familiarity with data visualization tools like Tableau or Power BI.

Benefits:

  • Competitive Salary: Reflective of experience and industry standards.

  • Flexible Working: Options for remote or hybrid working arrangements.

  • Professional Development: Opportunities for training and certifications in AI and cybersecurity.

  • Health & Wellness: Comprehensive health insurance and wellness programs.

Job Features

Job Category

Cyber Security

Role Overview: We are seeking a skilled Data Scientist to join our dynamic team, focusing on the intersection of artificial intelligence (AI), cybersecurity, and forecasting. This role involves develo…View more

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Salary- $120K/yr – $150K/yr
Hybrid
Posted 3 weeks ago
At Air Products, our purpose is to bring people together to reimagine what’s possible, collaborate and innovate solutions to the world’s most significant energy and environmental sustainability challenges. Grow with us as we embark on building tomorrow together by being the safest, most diverse and most profitable industrial gas company in the world. Reimagine What’s Possible We are excited to share our Digital Technology (DT) team is expanding to meet growing business needs across the world. We’re making a significant investment in our people and systems to strengthen our digital foundation, drive business optimization, and enable our growth strategies. We are seeking a Senior Data Scientist within the Digital Technology team. This role is hybrid, based at our global headquarters in Allentown, PA. Nature and Scope The Senior Data Scientist will work on a team of collaborative, advanced-degreed, highly knowledgeable specialists who apply Data Science to increase productivity at Air Products. You will contribute ideas to AI/ML strategy at Air Products and effectively implement improvement opportunities using AI/ML leading to business success and growth. You will also work with business partners to drive adoption of models you build. This is an exciting and rewarding position which provides exciting growth prospects and the opportunity to solve challenging business problems using your unique skills. PRINCIPAL ACCOUNTABILITIES:
  • Expert practitioner in AI/ML, Generative Artificial Intelligence, Machine Learning, Deep Learning, and related fields
  • Technical individual contributor on the Data Science Team
  • Learn continuously to stay current on cutting-edge AI/ML technology
  • Identify and understand business problems, define data requirements, formulate, build, and communicate AI/ML solutions concisely
  • Contribute to development of MLOps platform
  • Bring Data Science perspective working with Product Management Team to design and create self-service solutions for business clients leveraging products built on the MLOps platform
  • Foster a strong network with business and functional partners to drive AI/ML adoption
  EXPERIENCE AND QUALIFICATIONS:
  • Expertise using Deep Learning in applications such as image analysis
  • Experience in Generative AI including Retrieval Augmented Generation using Large Language Models
  • Excellent communication and interpersonal skills to act as a translator of complex technical topics to simple language with business partners
  • Ability to collaborate with business partners to drive adoption
  • Geographic Information Systems experience is a plus
  • Ability to work independently and within a team to tackle meaningful problems
  • Valid Drivers’ License and good driving record required.
What’s In It for You: At Air Products we foster a culture of inclusion where every voice is heard, and everyone feels they belong and matter. Additionally, we offer competitive pay and great benefits for our employees. Check out some of our benefits below! Affordable Medical, Dental and Vision Insurance (day 1 of employment) 401k with 100% vested company core AND company match (8%) Paid Vacation, holidays, flexible holiday + sick time Paid Parental leave (Up to 8 weeks for both parents) Backup Child and Adult Care benefit   Many more supplemental benefits available Air Products proudly values the skills, dedication, and leadership that Veterans bring to the table. As a Veteran-friendly organization, we actively encourage and welcome Veterans to apply for various roles within our company. We recognize the unique strengths and experiences that veterans contribute, and we foster a workplace that honors your service while providing a platform for professional growth. We are the world’s largest hydrogen producer with over 80 years of industrial gas experience. We are hydrogen and industrial gas experts delivering safe, end-to-end solutions, investing in real, clean energy projects at scale, and driving the industry forward to generate a cleaner future. At Air Products, we work in an environment where we put safety first, diversity is essential, inclusion is our culture, and each person knows they belong and matter. To learn more, visit About Air Products. We offer a comprehensive benefits package including paid holidays and vacation, affordable medical, dental, life insurance and retirement plans. You will be eligible for benefits and also be 100% vested in your retirement benefits on your first day of employment. Air Products is committed to working with and providing a reasonable accommodation to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation to search for a job opening or to submit an online application, please e-mail us at talent@airproducts.com. General application status inquiries are not answered by this mailbox rather you’ll receive an e-mail directly from our Career Center and/or the Talent Acquisition Specialist.

Job Features

Job Category

AI Engineer, Data Science

At Air Products, our purpose is to bring people together to reimagine what’s possible, collaborate and innovate solutions to the world’s most significant energy and environmental sustainability ch…View more

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Salary- $90K/yr – $120K/yr
Remote
Posted 4 months ago
Position Title: Power BI Consultant Location: Remote Who is BRIDGE? BRIDGE Healthcare Partners is a not-for-profit organization founded in 2011. We are a mission based managed service organization for not-for-profit organizations in the healthcare, community wellness and childcare services arena. We provide a framework of services including:
  • Information Technology (IT)
  • Revenue Cycle Management (RCM)
  • Electronic Health Records (EHR)
The most concise way to describe BRIDGE’s services is for you to imagine a physician’s office, community wellness, childcare center, or clinic. BRIDGE can perform the IT, billing, and electronic medical record functions of a group of physician’s offices, clinic, wellness organization or childcare center so they can focus on providing exceptional service. Although much of our client base is in the health care sector, we also have clients in higher education and community-based non-profits. Position Summary We are seeking a highly skilled and experienced Power BI Consultant to support our organization’s data-driven decision-making process. The ideal candidate will have a strong background in Power BI, including Power Query, DAX, and Power BI Service. You will be responsible for developing, designing, and implementing Power BI dashboards and reports, collaborating with stakeholders to understand their needs and providing insights that improve business processes. In addition to the required technical expertise, the Power BI Consultant must have strong communication skills to collaborate and present findings in a clear and actionable manner. Excellent problem-solving skills, strong analytical skills and attention to detail are essential. Key Responsibilities
  • Design, develop, and maintain Power BI dashboards and reports.
  • Perform data analysis and data modeling to create insightful reports.
  • Interact with stakeholders to understand their business needs and goals.
  • Provide training and support to business users in the effective use of Power BI dashboards.
  • Extract, transform, and load (ETL) data from various sources into Power BI.
  • Ensure data accuracy and consistent reporting by designing and creating data validation and error-checking methods.
  • Integrate Power BI reports into other applications using embedded analytics or API automation.
  • Optimize Power BI dashboards for usability, performance, and standardization.
  • Maintain documentation for all functional and business requirements.
  • Ensure compliance with data security and relevant regulations.
Qualifications and Skills
  • A bachelor’s degree in computer science, Information Technology, Data Science, or a related field.
  • Proven experience in data analysis and business intelligence, specifically with Power BI.
  • Proficiency in Power BI, including Power Query, DAX, and Power BI Service.
  • Strong knowledge of SQL and data modeling.
  • Familiarity with ETL (Extract, Transform, Load) processes.
  • Familiarity with multiple data source types including flat file, SQL, REST API, etc.
  • Experience with other BI tools (e.g., Tableau, Qlik) are a plus.
  • Ability to work independently and on a team.
Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
  • While performing the duties of this job, the employee may be regularly required to sit, talk, hear, and use hands and fingers to operate a computer, telephone, and keyboard.
  • Specific vision abilities required by this job include close vision requirements due to computer work.
Equal Opportunity Employer BRIDGE Healthcare Partners is proud to be an equal opportunity employer, and we are committed to maintaining a diverse and inclusive environment. All qualified applicants will receive considerations for employment without regard to race, color, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), gender identity, gender expression, age, status of protected veteran, status as an individual with a disability, religion, sexual orientation, national origin, genetic information, or any other protected characteristics as outlined by federal, state, or local laws.

Job Features

Job Category

Data Engineer, Data Science

Position Title: Power BI Consultant Location: Remote Who is BRIDGE? BRIDGE Healthcare Partners is a not-for-profit organization founded in 2011. We are a mission based managed service organization f…View more

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Salary- $90K/yr – $120K/yr
Hybrid
Posted 4 months ago
Title: Senior Data Analyst Location: Hybrid

About the Role:

We are seeking a highly motivated and experienced Senior Data/Business Analyst to join our team. 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:

  • Sales Channel Support: Conduct in-depth analyses and investigations to understand sales trends, identify opportunities, and address challenges. This includes drill-down analysis, ad-hoc reporting, and proactive exploration of data to uncover actionable insights.
  • Data Integration & Leverage:  Identify opportunities to integrate and leverage data more effectively across the organization. Develop strategies to enhance data quality and generate deeper insights into the drivers of sales performance.
  • Collaboration with Data Science/Engineering: Work closely with 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 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:  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.   
  • Experience working with large datasets and cloud-based data platforms.

Preferred Qualifications in any of this:

    • Direct to Consumer
    • Business-to-Business
    • Commercial Sales
  • Familiarity with statistical modeling techniques.
  • Experience with data storytelling and presentation skills.

Job Features

Job Category

Business Analyst, Data Analyst

Title: Senior Data Analyst Location: Hybrid About the Role: We are seeking a highly motivated and experienced Senior Data/Business Analyst to join our team. In this role, you will play a crucial pa…View more

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Salary- $80K/yr – $100K/yr
Texas
Posted 4 months 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

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Salary- $210K/Yr – $230K/Yr
Remote
Posted 4 months ago

Key Responsibilities:

1. Environmental Monitoring & Lab Integration

  • Design and manage data collection protocols using environmental sensors (e.g., for air quality, water pollution, soil composition).

  • Collaborate with lab technicians to ensure accurate calibration and maintenance of monitoring equipment.

  • Develop automated workflows to collect, clean, and store environmental data in real time.

2. AI & Machine Learning Application

  • Build and apply AI/ML models to detect patterns, anomalies, or trends in environmental datasets.

  • Use predictive modeling to anticipate environmental hazards such as pollution spikes, chemical leaks, or ecosystem degradation.

  • Integrate AI models with real-time monitoring platforms for automated reporting and alerts.

3. Data Science & Visualization

  • Conduct in-depth data analysis using Python, R, or MATLAB.

  • Create interactive dashboards and visual reports using tools like Power BI, Tableau, or custom-built web apps.

  • Collaborate with researchers, policy analysts, or engineers to translate data insights into actionable recommendations.

4. Cybersecurity & Data Protection

  • Implement cybersecurity best practices to ensure the integrity, confidentiality, and availability of environmental data.

  • Manage secure transmission protocols between sensor networks, cloud databases, and analysis platforms.

  • Conduct risk assessments and establish security controls for IoT-connected environmental systems.

 

Required Qualifications:

  • Bachelor’s or Master’s degree in Environmental Science, Data Science, Computer Science, Engineering, or a related field.

  • Demonstrated experience with AI/ML tools and libraries (e.g., TensorFlow, scikit-learn, PyTorch).

  • Knowledge of environmental monitoring systems and data types (e.g., EPA standards, IoT-based sampling).

  • Strong programming and data handling skills (Python, SQL, R, or similar).

  • Familiarity with cybersecurity practices and tools (e.g., secure API usage, encryption, basic network security).

Preferred Qualifications:

  • Experience with cloud platforms like AWS, Google Cloud, or Azure for AI model deployment and data storage.

  • Knowledge of geospatial tools (e.g., QGIS, ArcGIS, Google Earth Engine).

  • Certifications or coursework in AI ethics, environmental regulations, or cybersecurity frameworks (e.g., NIST).

 

Key Soft Skills:

  • Strong problem-solving ability and systems thinking mindset.

  • Excellent written and verbal communication skills for interdisciplinary collaboration.

  • Ability to manage multiple projects in a fast-paced, evolving tech-environment.

 

Work Environment:

  • Hybrid role (field data acquisition + remote/cloud-based model development).

  • Occasional travel to environmental sites or partner labs for on-site system integration.

  • Team-oriented and often cross-disciplinary, involving coordination with ecologists, AI engineers, and policy experts.

Job Features

Job Category

Cyber Security, Data Science

Key Responsibilities: 1. Environmental Monitoring & Lab Integration Design and manage data collection protocols using environmental sensors (e.g., for air quality, water pollution, soil compositio…View more

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Salary- $150K/Yr – $180K/Yr
Hybrid
Posted 4 months ago
Title: Software Engineer Location: Hybrid

Requirements:

Strong object-oriented programmer

React (front end)

Typescript (LAMBDAS)

MicroServices (AWS LAMBDA)

Node (Back end)

Kubernetes (Containers, EKS, Clusters)

AWS (Cloud)

PostgreSQL (database)

Legacy is in Java and moving to C#

Use lambdas more heavy than .net

Api’s are straight forward

Stronger on react and front end

.Net is now a plus not a requirement

Job Features

Job Category

Software Engineering

Title: Software Engineer Location: Hybrid Requirements: Strong object-oriented programmer React (front end) Typescript (LAMBDAS) MicroServices (AWS LAMBDA) Node (Back end) Kubernetes (Containers, EKS,…View more

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Salary- $150K/Yr – $180K/Yr
Hybrid
Posted 4 months 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:  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.   
  • 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

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Salary- $180K/Yr – $225K/Yr
Remote
Posted 4 months ago

Job Summary

We are seeking a highly motivated and multidisciplinary Environmental Data Analyst with expertise in Data Science, Artificial Intelligence (AI), and Cybersecurity to support our environmental research labs. In this hybrid technical and scientific role, you will work closely with environmental scientists and IT professionals to collect, process, analyze, and protect critical environmental data. You will apply machine learning to uncover trends, support lab experiments with real-time data systems, and ensure that all digital data infrastructures comply with cybersecurity standards.

Key Responsibilities

1. Lab & Environmental Data Support

  • Assist researchers in collecting data from environmental monitoring devices (air, water, soil sensors).

  • Manage and maintain lab instrumentation and field equipment, including IoT-based sensor systems.

  • Organize and document experiment data using standardized lab protocols.

2. Data Science & AI

  • Preprocess, clean, and manage large environmental datasets using Python or R.

  • Develop and deploy AI/ML models to support analysis such as:

    • Climate and pollution forecasting

    • Ecosystem pattern recognition

    • Biodiversity and deforestation monitoring

  • Create interactive dashboards, visualizations, and reports to communicate insights to non-technical stakeholders.

3. Cybersecurity & Data Governance

  • Ensure the security and integrity of research data using encryption, access control, and secure storage solutions.

  • Implement cybersecurity best practices for lab systems, IoT devices, and cloud-based data platforms.

  • Collaborate with IT/security teams to monitor systems and resolve vulnerabilities.

  • Ensure compliance with data protection regulations (e.g., GDPR, HIPAA, ISO 27001).

   

Required Qualifications

  • Bachelor’s or Master’s degree in Environmental Science, Data Science, Computer Science, Cybersecurity, or a related field.

  • 2+ years of experience in a technical role involving data analysis or lab support.

  • Proficiency in Python and/or R for data analysis and machine learning.

  • Understanding of AI/ML frameworks (e.g., TensorFlow, Scikit-learn, PyTorch).

  • Familiarity with cybersecurity principles, tools, and technologies.

  • Strong communication skills and ability to work in interdisciplinary teams.

 

Preferred Qualifications

  • Experience with IoT devices and sensor networks (e.g., Raspberry Pi, Arduino, MQTT).

  • Familiarity with cloud platforms (AWS, GCP, Azure) and data pipelines.

  • Knowledge of GIS or remote sensing tools.

  • Certifications in cybersecurity (e.g., CompTIA Security+, CEH, CISSP) or data science (e.g., Google Data Engineer).

 

What We Offer

  • Opportunity to work on real-world climate and environmental challenges.

  • A collaborative, cross-disciplinary team environment.

  • Flexible work options (remote/hybrid).

  • Professional development in AI, cybersecurity, and environmental data systems.

  • Competitive salary and benefits package.

Job Features

Job Category

Cyber Security, Data Science

Job Summary We are seeking a highly motivated and multidisciplinary Environmental Data Analyst with expertise in Data Science, Artificial Intelligence (AI), and Cybersecurity to support our environmen…View more

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Salary- $80K/yr – $100K/yr
Lincoln
Posted 5 months ago
Title: Lead Python Developer Location: Hybrid

Must Haves:

  • 1+ years hands on Python Developer
  • SQL (Oracle)
  • MS SQL
  • UI/UX
  • Angular

 

Nice to Haves:

  • Cloud
  • Azure
  • ETL
  • Banking Experience
  • Financial Reporting Experience

 

Job Description:

In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Software Engineering. Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel. Required Qualifications: 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.

Job Features

Job Category

Data Engineer, Data Science

Title: Lead Python Developer Location: Hybrid Must Haves: 1+ years hands on Python Developer SQL (Oracle) MS SQL UI/UX Angular   Nice to Haves: Cloud Azure ETL Banking Experience Financial Reporting …View more

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