Sr. Data Analyst

The Senior Data Analyst role at INDEX ANALYTICS LLC focuses on using advanced analytics and research methods to convert complex healthcare data into practical insights aligned with CMS business needs. This onsite position is based in Baltimore, MD.

Role Summary

As a Sr. Data Analyst, you will transform Medicaid and Children’s Health Insurance Program (CHIP) data into actionable outputs through predictive modeling, data mining, reporting and visualization, and leadership of analytic deliverables within an agile environment.

Key Responsibilities

• Conduct research on best practices and analyze Medicaid and CHIP data sources, including claims, TAF, program oversight metrics, scorecards, and performance data, to identify patterns, clusters, and insights that support policy, operational improvements, and CMS feature development.
• Execute routine and exploratory data analysis using statistical methods, predictive modeling, and data mining techniques to build predictive models, reveal trends, and produce actionable insights.
• Develop and deliver reports, ad hoc analyses, and data visualizations informed by HCD and UX best practices so clients can interpret complex information and make decisions.
• Collaborate in an agile environment with data analysts, data scientists, and internal or external clients to define analytical requirements and implement value-added solutions that improve business operations.
• Lead development of analytic products using Medicaid and CHIP data across use cases, from pilot studies to operational and reporting dashboards requiring research, data discovery, analysis, and validation.
• Manage assigned research projects and analytic use cases independently, or alongside a team, providing guidance and direction to technical and non-technical staff.
• Create technical deliverables such as presentation decks, reports, and draft manuscripts that communicate findings for clients and scientific audiences through clear, compelling presentations tailored to stakeholders.
• Combine qualitative design research with exploratory data analysis to generate insights that support health policy and improved outcomes for Medicaid and CHIP populations.
• Provide input to and review documentation, references, and training materials covering analytic approaches, data structures and content, and data quality observations.

Requirements

• U.S. citizen or otherwise authorized to work in the United States, with proof of physical U.S. residency for at least 3 of the past 5 years.
• Bachelor’s degree with at least 10 years of experience (or equivalent education and experience). Includes a minimum of 4 years designing and conducting research studies, implementing analytic use cases, and delivering ad hoc or planned work products.
• Experience applying statistical methods, including distributions, hypothesis testing, and regression, plus visualization techniques to support data-driven decision-making for program administration, policymaking, and oversight.
• Direct experience performing data analytics using SQL or PySpark is required.
• Hands-on experience with TAF data, CMS-416T reports, and processes for generating state health outcome metrics is required. Experience with DQ Atlas or Scorecard is a plus.
• Strong verbal and written communication skills, including the ability to present complex information clearly to diverse audiences.

Technologies

• SQL, PySpark, Python, R, NLP
• TAF, CMS-416T, DQ Atlas, Scorecard
• HCD, UX

Location and Compensation

• Location: Baltimore, MD (onsite)
• Salary: USD 150,000 to 160,000 per year

Position Overview

This role leverages domain expertise, advanced analytics, and research methodologies to convert complex healthcare data into actionable insights. The Senior Researcher/Analyst contributes to high-impact solutions for the program using statistical analysis, data mining, programming, and qualitative research to inform policy, optimize operations, and improve health outcomes.