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Popular mid-level Data Analyst in metro with broad SQL/Python/BI requirements increases applicant competition.
Core analytics skills are transferable, but healthcare payment integrity domain knowledge increases specificity.
Mandatory 3+ years plus advanced SQL, Python and BI tooling creates strict screening filters.
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Analyze and interpret large healthcare datasets to uncover trends, inefficiencies, and business opportunities improving audit and operational outcomes.
Develop and maintain automated dashboards, scorecards, and reports (Power BI, Tableau) to monitor audit lifecycle SLAs, financial performance, and provider outreach effectiveness.
Collaborate cross-functionally with operations, audit, finance, product, and leadership teams to support strategic decision-making and performance measurement using advanced analytics and automation (SQL, Python).
3+ years of experience in Data Analytics or Business Intelligence, preferably in healthcare claims analytics or payment integrity analytics.
Advanced proficiency in SQL (complex joins, CTEs, stored procedures) and Python for data transformation and automation.
Experience with BI tools such as Power BI or Tableau and advanced Excel/Google Sheets skills (pivots, lookups, formulas, dashboards).
Bachelor’s degree in Analytics, Statistics, Computer Science, Finance, Healthcare Administration, or related field.
Experienced in handling complex healthcare payment integrity data and audit workflows with a focus on accuracy and data governance (HIPAA compliance).
Skilled in building and optimizing operational metrics tracking systems (productivity, SLA, TAT, financials) and automating routine reporting for diverse stakeholders.
Proficient collaborator capable of translating complex analytics into actionable business insights supporting strategic planning in a fast-paced, cross-functional environment.