Sr Data Analyst
About The Position
RELI Group is seeking a detail-oriented and highly analytical Data Analyst to support the Centers for Medicare & Medicaid Services (CMS) Multidimensional Information Data Analytics System (MIDAS) Program. The Data Analyst will play a key role in transforming complex healthcare and operational data into meaningful insights that drive program decision-making, reporting, and modernization objectives. This role involves hands-on data analysis, dashboard and report development, data quality validation, and close collaboration with Data Engineers, Data Architects, Business Analysts, and QA teams within an AWS/Databricks-based environment.
Requirements
- Bachelor’s degree in data-analytics, Statistics, Computer Science, Information Systems, or related field.
- 4+ years of experience in analytical or business intelligence roles.
- Strong SQL experience performing data extraction, validation, and transformation.
- Demonstrated experience with data visualization tools such as QuickSight, Tableau, or Power BI.
- Hands-on experience analyzing datasets in cloud environments (AWS or Databricks preferred).
- Experience conducting data profiling, reconciliation, and root-cause analysis.
- Ability to translate business questions into analytical approaches and communicate findings clearly.
- Strong collaboration skills; able to work closely with technical and non-technical stakeholders.
Nice To Haves
- Experience supporting CMS programs or working with ACA, QHP, HICS, HIOS, or other healthcare datasets.
- Familiarity with Databricks notebooks, Delta Lake, Python, or PySpark for exploratory analysis.
- Experience with data governance, metadata management, or FISMA/ARS 5.0 reporting needs.
- Understanding of CMS TRA/TLC frameworks and Agile (SAFe) delivery methodologies.
Responsibilities
- Analyze large, complex datasets to identify trends, anomalies, and actionable insights across CMS healthcare and operational domains.
- Develop dashboards, visualizations, and reports using tools such as QuickSight, Tableau, or Power BI to support leadership and stakeholder decision-making.
- Translate business requirements into analytical specifications, data queries, and reporting logic.
- Write efficient SQL to query, validate, and profile data stored in AWS S3, Redshift, Delta Lake, and Databricks environments.
- Perform data quality assessments, reconciliation, and validation of ingestion and transformation pipelines.
- Partner with Data Engineers to refine transformation logic, metadata standards, and analytic datasets.
- Support monthly/quarterly reporting cycles, compliance-driven analytics, and FISMA/ARS 5.0 data needs.
- Document analysis methods, data definitions, data flows, and business rules in support of auditability and reproducibility.
- Participate in Agile ceremonies (Scrum, PI Planning, retrospectives) and collaborate across MIDAS scrum teams.
- Identify opportunities for automation, standardization, and optimization of analytics and reporting processes.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
501-1,000 employees
