Role Description The Research Data Analyst will work closely with senior staff to generate both statistical and graphical analysis of research data. This individual must understand clinical research as well as biostatistical and epidemiological methods and be able, with guidance, to choose the appropriate methods and analysis to address the needs of the research questions. S/he must be knowledgeable about the assumptions underlying each analytic method and must be able to provide an interpretation of the results. The Family Lifestyle Program seeks a part-time (~50%), benefits-eligible, fully remote Research Associate to support outcomes and lived-experience research for the FLiPRx program. This work advances evidence that produce prescriptions and other Food Is Medicine interventions are essential healthcare services. The ideal candidate has experience with food insecurity, diet quality, and medical claims data, and is skilled in quantitative and qualitative methods, survey tools, and data analysis. Experience with community-centered research, translating findings for varied audiences, and manuscript and presentation development is strongly preferred. Qualifications - Bachelor's Degree - At least 3 years of progressive experience with statistical programming and analysis - Demonstrated knowledge and experience with data management Requirements - In-depth knowledge and experience with at least one of the following statistical packages: SAS, SPSS, STATA Functional Accountabilities - Expertise in biostatistics and epidemiology to enable the person to choose appropriate methods to address research questions - Implement chosen methods to ensure underlying assumptions are met - Review results and provide a written interpretation of each result - Prepare tables, graphs, and written descriptions for incorporation into publications Benefits - Comprehensive health coverage, including medical, prescription, infertility, and transgender health services - Generous paid time off, including vacation accrual from day one, sick leave, holidays, and a personal day - Financial wellness support, including a 401(k) plan and healthcare and dependent care spending accounts - Employer-paid life, AD&D, and long-term disability coverage, with optional supplemental plans - Additional perks, including tuition assistance, fitness resources, employee assistance, commuter benefits, and more

Role Description GDIT is seeking a Data Analyst Principal to support its Data & Analytics organization. As a Data Analyst Principal, you will support GDIT’s customers with data-informed solutions tailored to their unique needs. You will find yourself at the heart of GDIT’s customer-centric approach, playing a pivotal role in ensuring our customers successfully meet their strategic goals. You will use your project management and data skills to promote organizational goals to completion. If you enjoy collaborating with others in a fast-paced environment, you will find this role to be both rewarding and challenging. HOW A DATA ANALYST PRINCIPAL WILL MAKE AN IMPACT: - Leads data insights projects and team members in delivery to schedule and scope objectives. - Collects and analyzes large data sets to identify trends, patterns, and insights. - Designs, builds and maintains dashboards and reports for all levels of the organization, including executives and staff. - Presents insights to both technical and non-technical team members and stakeholders, assisting in making informed, data-driven decisions. - Contributes to a variety of complex data-related projects, including machine learning, predictive modeling, and analytics. - Mentors and guides junior data analysts and engineers. - Leverages large sets of structured and unstructured data to develop tools and techniques for robust data analysis. - Collaborates with different teams to understand their data needs and create solutions that solve problems and streamline workflows. - Continually evaluates emerging technologies and stays updated on modern data architecture and analyses trends to implement in future projects. Qualifications - BA/BS (or equivalent years of experience) - 8+ years of relevant experience Requirements - Experienced in consulting and supporting executives and senior leadership. - Expert-level experience in dashboard design, data visualization, and with Tableau and Power BI. - Experienced with Structured Query Language (SQL). - Strong Excel background; familiarity with other Microsoft tools (Outlook, Word, Excel, PowerPoint). - Experience with Agile methodology and practices. - Experience with Azure DevOps or similar tool(s). - Experience with Python and R. - Skilled in implementing advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.). - Experienced in implementing some machine learning techniques (may include supervised and unsupervised learning, deep learning, natural language processing, ensemble methods, dimensionality reduction). - Familiarity with machine learning frameworks (like Keras or PyTorch), libraries (like scikit-learn), and computing platforms (like Jupyter). - Experience consulting with internal and external customers to understand business needs and make recommendations. - Excellent communication and presentation skills with the ability to present complex data insights to both technical and non-technical audiences, including business leaders. - Strong analytical skills with the ability to collect, organize, analyze, and disseminate insights with attention to detail and accuracy. - Ability to effectively manage multiple competing priorities at any given time. - Ability to work independently and as a team lead. - Good team player, able to manage multiple assignments, and adapt to changing client needs. Benefits - Comprehensive benefits and wellness packages. - 401K with company match. - Competitive pay and paid time off. - Full-flex work week to own your priorities at work and at home. - Award-winning culture of innovation and a military-friendly workplace.

Role Description GDIT is seeking a Data Analyst Principal to support its Data & Analytics organization. As a Data Analyst Principal, you will support GDIT’s customers with data-informed solutions tailored to their unique needs. You will find yourself at the heart of GDIT’s customer-centric approach, playing a pivotal role in ensuring our customers successfully meet their strategic goals. You will use your project management and data skills to promote organizational goals to completion. If you enjoy collaborating with others in a fast-paced environment, you will find this role to be both rewarding and challenging. HOW A DATA ANALYST PRINCIPAL WILL MAKE AN IMPACT: - Leads data insights projects and team members in delivery to schedule and scope objectives. - Collects and analyzes large data sets to identify trends, patterns, and insights. - Designs, builds and maintains dashboards and reports for all levels of the organization, including executives and staff. - Presents insights to both technical and non-technical team members and stakeholders, assisting in making informed, data-driven decisions. - Contributes to a variety of complex data-related projects, including machine learning, predictive modeling, and analytics. - Mentors and guides junior data analysts and engineers. - Leverages large sets of structured and unstructured data to develop tools and techniques for robust data analysis. - Collaborates with different teams to understand their data needs and create solutions that solve problems and streamline workflows. - Continually evaluate emerging technologies and stay updated on modern data architecture and analyses trends to implement in future projects. Qualifications - BA/BS (or equivalent years of experience) - 8+ years of relevant experience Requirements - Experienced in consulting and supporting executives and senior leadership. - Expert-level experience in dashboard design, data visualization, and with Tableau and Power BI. - Experienced with Structured Query Language (SQL). - Strong Excel background; familiarity with other Microsoft tools (Outlook, Word, Excel, PowerPoint). - Experience with Agile methodology and practices. - Experience with Azure DevOps or similar tool(s). - Experience with Python and R. - Skilled in implementing advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.). - Experienced in implementing some machine learning techniques (may include supervised and unsupervised learning, deep learning, natural language processing, ensemble methods, dimensionality reduction). - Familiarity with machine learning frameworks (like Keras or PyTorch), libraries (like scikit-learn), and computing platforms (like Jupyter). - Experience consulting with internal and external customers to understand business needs and make recommendations. - Excellent communication and presentation skills with the ability to present complex data insights to both technical and non-technical audiences, including business leaders. - Strong analytical skills with the ability to collect, organize, analyze, and disseminate insights with attention to detail and accuracy. - Ability to effectively manage multiple competing priorities at any given time. - Ability to work independently and as a team lead. - Good team player, able to manage multiple assignments, and adapt to changing client needs. Benefits - AI-powered career tool that identifies career steps and learning opportunities. - An internal mobility team focused on helping you achieve your career goals. - Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off. - Full-flex work week to own your priorities at work and at home. - Award-winning culture of innovation and a military-friendly workplace.

• The Market Intelligence (MI) Data Analyst supports the delivery, quality, and scalability of AGDATA’s Market Intelligence products and services. • Validate and manage data, maintaining dashboards and reports. • Communicate with internal and external stakeholders and support MI workflows that enable timely, accurate insights for internal teams and clients. • Inspect, validate, cleanse, and transform Market Intelligence data to ensure accuracy and completeness. • Perform ongoing data quality checks across product attributes, metrics, and reference data. • Investigate and resolve data discrepancies in partnership with MI stakeholders. • Own building, refreshing, and maintaining recurring and ad-hoc MI dashboards and reports. • Ensure consistent definitions, metrics, and visuals across MI reporting. • Translate data into clear insights that support business and product decisions. • Support MI workflows such as product attribute management, data validation and approvals, and user access management. • Assist with onboarding, documentation, and support processes related to MI tools. • Partner with Market Intelligence, Product, Client Engagement, and Operations teams. • Respond to data and reporting requests from leadership and internal stakeholders. • Clearly communicate findings, risks, and dependencies to non-technical audiences. • Engage professionally with internal and external customers, ensuring clear, timely, and effective communication to support a positive customer experience. • Identify manual or inefficient MI data processes and recommend improvements. • Support automation and tooling initiatives to enable scale. • Contribute to documentation, standards, and best practices for MI analytics.