Data Analyst

• Review and analyze data
• Create reports, dashboards, and presentations for stakeholders and leadership
• Use findings to aid decision-making
• Collect and analyze quantitative and qualitative data
• Communicate findings through dashboards, reports, briefing decks, stories, scorecards, and executive briefings for different audiences
• Proofread and edit reports and other products for consistency of format
• Conduct outreach to offices regarding upcoming surveys and maintain current documentation
• Assist with developing communication strategies and plans for the assigned office or area
• Maintain the office website and produce materials with the divisional communications team
• Perform data manipulation and variable creation for a vaginal microbiome cohort study
• Analyze micronutrient status and nutrition/diet data from baseline surveys
• Evaluate associations between nutrition and vaginal microbiome composition in a longitudinal cohort
• Perform other duties as assigned

Data Analyst – International Health

• Develop gravitational wave data analysis algorithms for NASA’s LISA Science Ground Segment
• Deploy algorithms in production systems used for ground system testing and eventually flight data
• Contribute individually to NASA Science Ground Segment efforts
• Mentor and provide leadership to individuals and small groups
• Collaborate with researchers at GSFC, Marshall Space Flight Center, Jet Propulsion Laboratory, ESA, European institutions, and international researchers
• Develop scientific data products for researchers around the globe

Research Scientist – LISA Data Analysis

• Serve as subject matter expert on CMS Stars measures, specifications, and methodology, including denominators, numerators, exclusions, benchmarks, and cut points
• Understand and analyze transformation of claims, HEDIS, CAHPS, HOS, supplemental feeds, and other data into measure-level Stars performance
• Track CMS methodology changes and keep analytical products aligned
• Define data ingestion requirements and map source data into standardized structures, specifications, and data dictionaries
• Identify and resolve ingestion data-quality issues by validating completeness, accuracy, and consistency
• Monitor data movement through ETL/ELT into warehouses, marts, and reporting layers
• Design Stars data marts and analytical models, including fact tables, dimensions, and calculated fields
• Model relationships between members, providers, claims, and quality events
• Validate data marts and models against CMS requirements and source data
• Analyze Stars performance by plan, contract, measure, and provider, identifying trends, gaps, and anomalies
• Perform year-over-year analysis of measure performance and Star Rating implications
• Build reporting specifications and dashboards for plan leaders
• Build and maintain Power BI, Tableau, or similar dashboards with reusable measures, calculations, and visualizations
• Define reporting standards and best practices for Stars analytics
• Work with Medicare Advantage health plans to understand data, reporting needs, and analytics questions
• Reconcile internal plan reporting with external analytics and investigate discrepancies
• Present findings to plan quality, analytics, and business teams
• Develop data validation, reconciliation, and automated quality-check processes
• Compare source, transformed, and reported data to investigate discrepancies or unexpected changes
• Partner with engineering to resolve defects and validate new feeds or methodology changes
• Translate requirements into data specifications, user stories, and test cases
• Participate in product development from requirements through testing and deployment
• Automate manual processes and contribute to new Stars data products
• Independently own a Stars data product or reporting deliverable end-to-end and work directly with health plan stakeholders

Medicare Advantage Stars Data Analyst

• Serve as the principal authority for data analytics, statistical analysis, data management, and data quality oversight
• Lead and manage data analytics team activities and work with federal customers on analytics lane updates
• Oversee data collection, ingestion, processing, analysis, interpretation, validation, and reporting
• Partner with program leads, customers, and technical teams to drive data-informed decision-making and analytics strategy
• Serve as subject matter expert for data analytics, modeling, and decision-support solutions
• Lead analysis initiatives across operational, population, and vendor-supplied datasets
• Manage the end-to-end data lifecycle, including ingestion, transformation, integration, validation, storage, and distribution
• Design and optimize scalable data pipelines, ETL processes, and automated data workflows
• Standardize, normalize, and structure data for analytics, reporting, and business intelligence
• Establish data quality standards, governance policies, and monitoring processes
• Identify and resolve data anomalies, quality issues, and source-system deficiencies
• Apply statistical, predictive, diagnostic, and trend analysis techniques
• Perform forecasting, optimization, modeling, risk assessment, and performance measurement
• Conduct quantitative analysis of program effectiveness, operational efficiency, and business outcomes
• Transform complex datasets into business-ready information for operational and executive decision-making
• Develop dashboards, reports, visualizations, executive briefings, standardized reporting frameworks, and KPIs
• Evaluate emerging data sources through pilot programs, feasibility studies, and cost-benefit analyses
• Ensure compliance with data governance, security, privacy, and organizational standards
• Promote data stewardship, governance, and best practices across stakeholders and data providers
• Drive continuous improvement of analytics capabilities, data management processes, and organizational data maturity

Data Analytics Lead – Public Health

• Serve as technical and analytic lead for work involving T-MSIS Analytic Files (TAF) and Medicaid administrative data
• Analyze, interpret, and validate TAF data hands-on
• Lead analytic activities and understand dependencies across data, requirements, methodologies, timelines, and deliverables
• Identify and help resolve TAF/T-MSIS data-quality and usability issues
• Guide analysts and technical team members
• Review analytic results for accuracy and appropriate interpretation
• Work directly with CMS and other stakeholders to understand requirements, communicate issues, and recommend solutions
• Translate complex data findings and technical issues into concise updates and presentations for executive-level audiences

Data Analyst jobs in Maryland

Data Analyst – International Health

Research Scientist – LISA Data Analysis

Medicare Advantage Stars Data Analyst

Data Analytics Lead – Public Health

Data Analytics Team Lead