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Popular data analyst title, metro location, and broad SQL/Python/BI requirements increase candidate competition.
Core analytics skills are transferable but healthcare claims and HIPAA experience create moderate domain specificity.
Explicit 2+ years requirement plus mandatory SQL, Python and reporting accuracy/HIPAA constraints make filters strict.
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Analyze and interpret large healthcare datasets to identify trends, inefficiencies, and business opportunities impacting payment integrity and operational performance.
Build and maintain automated reports, dashboards, and KPIs using SQL, Python, and BI tools to monitor audit lifecycle, financial metrics, and productivity.
Collaborate cross-functionally with operations, audit, finance, product, and leadership teams to support strategic decision-making and improve business outcomes.
Minimum 2 years of experience in Data Analytics, Business Intelligence, preferably in healthcare Claims Analytics or Payment Integrity Analytics.
Proficient in advanced SQL (complex joins, CTEs, stored procedures) and Python for automation and data transformation.
Experience with BI/reporting tools such as Power BI or Tableau and advanced Excel/Google Sheets skills.
Bachelor’s degree in Analytics, Statistics, Computer Science, Finance, Healthcare Administration, or related field.
Experienced in working with healthcare claims data, payment integrity, and audit workflows in fast-paced environments requiring accurate and reconciled reporting.
Demonstrates strong analytical skills with ability to uncover complex data patterns and perform root cause analysis across multiple data sources.
Operates effectively in cross-functional teams to deliver actionable insights that drive operational efficiency and financial accuracy.