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Mid-level generalist data analyst in a metro with broad skill requirements and visible startup brand.
Core analytics skills transferable, but healthcare claims and payment integrity domain increases domain-specific bias.
Explicit 2+ years plus mandatory SQL, Python, and BI skills and healthcare reporting accuracy requirements.
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Analyze and transform large healthcare datasets (claims, audit, financial, operational) into actionable insights to improve business performance and audit outcomes.
Build and maintain automated reports, dashboards, and KPI scorecards using SQL, Python, and BI tools to measure operational efficiency, SLA adherence, and financial accuracy.
Collaborate cross-functionally with operations, audit, finance, product, and leadership teams to support strategic decision-making via advanced analytics and reporting.
Minimum 2 years of experience in Data Analytics or Business Intelligence, preferably in healthcare Claims Analytics or Payment Integrity.
Advanced proficiency in SQL (complex joins, CTEs, stored procedures) and Python for automation and data transformations.
Experience with BI/reporting tools such as Power BI or Tableau and strong skills in Microsoft Excel/Google Sheets.
Bachelor’s degree in Analytics, Statistics, Computer Science, Finance, Healthcare Administration, or a related field.
Experienced working with healthcare payment integrity, claims data, or audit workflows in data analytics roles involving operational and financial performance measurement.
Able to develop and maintain complex automated reporting suites and dashboards that measure SLA, queue health, productivity, and financial metrics.
Capable of cross-functional collaboration with multiple teams and translating complex data insights into actionable business recommendations.