Senior Data Analyst

Index Analytics LLC

. Conduct research on best practices and analyze Medicaid and Children’s Health Insurance Program (CHIP) data sources, including claims, TAF, program oversight metrics, scorecards, and performance data .

Posted 10/23/2026full-timeRemote • Maryland • United StatesSenior💰 $150,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in conducting research and data analysis, particularly with Medicaid and CHIP data, utilizing statistical methods and predictive modeling to generate actionable insights. Proficient in developing reports and visualizations while collaborating effectively in an agile environment.

Highest-signal resume keywords

Statistical MethodsData AnalysisSQLPredictive ModelingNatural Language Processing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data MiningData VisualizationResearch Study DesignHypothesis TestingRegression AnalysisText AnalyticsPythonRPySparkTAF Data

Soft Skills

Verbal CommunicationWritten CommunicationCollaborationPresentation Skills

Tools & Technologies

Agile MethodologyCMS-416T ReportsData Quality AssessmentAnalytic Dashboards

Industry Keywords

MedicaidChildren’s Health Insurance ProgramCenters for Medicare & Medicaid ServicesHealth PolicyHealth Outcomes

Tech Stack

Tools & technologies

PySparkPythonSQL

About the role

Key responsibilities & impact

Conduct research on best practices and analyze Medicaid and Children’s Health Insurance Program (CHIP) data sources, including claims, TAF, program oversight metrics, scorecards, and performance data
Perform routine and exploratory data analysis using statistical methods, predictive modeling, and data-mining techniques
Build predictive models, uncover trends, and generate actionable insights
Develop and deliver reports, ad hoc analyses, and data visualizations grounded in HCD and UX best practices
Collaborate in an agile environment with data analysts, data scientists, and internal/external clients
Define analytical requirements, develop value-added solutions, and enhance business operations
Lead development of analytic products using Medicaid and CHIP data, from pilot studies to operational and reporting dashboards
Manage development and release of assigned research projects and analytic use cases independently or with a team
Provide guidance and direction to technical and non-technical staff
Prepare technical deliverables including presentation decks, reports, and draft manuscripts
Communicate findings to clients and scientific audiences through clear, compelling presentations
Integrate qualitative design research with exploratory data analysis to support improved health policy and outcomes
Review documentation, reference, and training materials related to analytic approaches, data structures, content, and data quality

Requirements

What you’ll need

U.S. citizen or otherwise authorized to work in the United States
Demonstrate physical residency in the U.S. for at least 3 of the past 5 years
Bachelor’s degree with a minimum of 10 years of experience, or equivalent combination of education and experience
Four years of specialized experience may substitute for a bachelor’s degree
At least 4 years of experience designing and conducting research studies, implementing analytic use cases, and building ad hoc or planned work products
Experience applying statistical methods including distributions, hypothesis testing, and regression
Experience conducting complex data analyses with visualization techniques
Direct experience performing data analytics using SQL or PySpark
Hands-on experience with TAF data, CMS-416T reports, and processes for generating state health outcome metrics
Subject matter expertise in text analytics is preferred
Experience with Natural Language Processing (NLP) techniques using Python or similar technologies is a plus
Proficiency in Python and R is a plus
Prior experience with the Centers for Medicare & Medicaid Services (CMS) or other government agencies is a plus
Excellent verbal and written communication skills
Ability to present complex information clearly to diverse audiences

Benefits

Comp & perks

Supportive and collegial team environment
Career development opportunities
Educational opportunities
Employee-friendly workplace