Data Analyst - Medicare/Medicaid

Posted about 3 hours agoViewed
95000 - 110000 USD per year
United StatesFull-TimeHealthcare Analytics
Company:A1M Solutions
Location:United States, EST
Languages:English
Seniority level:Senior, 5+ years
Experience:5+ years
Skills:
PythonSQLAgileData AnalysisTableauData modeling
Requirements:
Bachelor's degree. 5+ years of experience in IT, data analysis, or a related field. Prior experience working with CMS data, including CMS IDR, Medicare Part B & D. Intermediate to advanced SQL and Python skills. Experience using data visualization tools (e.g., Tableau, Power BI). Strong analytical and problem-structuring skills. Excellent verbal and written communication. Ability to obtain and maintain Public Trust clearance. Must reside and have worked in the United States for 3 of the past 5 years. Must have permanent U.S. work authorization. Must reside outside New York State. Flexibility to collaborate with partners primarily operating in Eastern Time.
Responsibilities:
Conduct ad hoc analytics related to prescription drugs, DME, and other Medicare/Medicaid program areas. Build complex SQL queries to access, extract, and analyze data from large and complex data systems, including CMS IDR. Transform, cleanse, and validate datasets using SQL or Python. QA code and analytical outputs developed by team members. Develop a deep understanding of client business objectives by eliciting and analyzing requirements. Translate business questions into structured analytical approaches. Present findings clearly to both technical and non-technical stakeholders. Document analytical processes, methodologies, and outcomes. Demonstrate understanding of relational databases, data architecture, and data modeling. Create conceptual models, entity relationship diagrams, and business process visualizations. Apply basic dashboarding and data storytelling principles using tools such as Tableau or Power BI. Leverage subject matter expertise in Medicare, Medicaid, and healthcare analytics. Maintain coding standards, accuracy, and attention to detail. Apply Agile values and practices when collaborating with teams. Active participation in client virtual meetings—including being on camera—is an essential function that helps strengthen trust and open communication.
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