Sr Data Analyst
Listed on 2025-12-11
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IT/Tech
Data Analyst, Data Engineer
Job Details:
Job Location:
Windsor Mill, MD;
Remote Type:
Fully Remote;
Position Type:
Full Time;
Education Level: 4 Year Degree;
Salary Range: $120000.00 - $140000.00
At RELI Group, our work is grounded in purpose. We partner with government agencies to solve complex challenges, improve public health, strengthen national security, and make government services more effective and efficient. Our team of over 500 professionals brings deep expertise and a shared commitment to delivering meaningful outcomes. Behind every solution is a group of experts who care deeply about impact‑whether we're supporting data‑driven decisions, modernizing systems or safeguarding critical programs.
Job SummaryRELI 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.
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 Quick Sight, 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.
- 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 Quick Sight, 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.
- 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.
- SQL
- AWS (S3, Redshift, RDS, Glue)
- Databricks & Delta Lake (for exploration and data validation)
- BI Tools:
Quick Sight, Tableau, Power BI - Python (basic analytical use preferred)
- Agile / SAFe Analytics Delivery
RELI Group is an Equal Employment Opportunity / Aff… All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, citizenship status, military status, protected veteran status, religion, creed, physical or mental…
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