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Mid-level generalist data role in metro with broad SQL/Python/BI demands and recognizable startup brand.
Core SQL/Python/BI skills transfer widely, though healthcare claims and HIPAA increase industry specificity.
Mandatory 3+ years plus advanced SQL, Python, and BI tools creates moderately strict screening.
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Analyze and transform complex healthcare claims and operational data into actionable insights to improve audit outcomes and business performance.
Build, maintain, and automate dashboards, reports, and KPI scorecards supporting operational, financial, and executive stakeholders.
Partner cross-functionally with operations, audit, finance, product, and leadership teams to support strategic decisions through advanced analytics and reporting.
3+ years of experience in Data Analytics or Business Intelligence, preferably in healthcare Claims or Payment Integrity Analytics.
Advanced SQL skills including complex joins, CTEs, stored procedures, optimization, and handling large datasets.
Proficiency in Python for automation, data transformation, and advanced analytics workflows.
Bachelor's degree in Analytics, Statistics, Computer Science, Finance, Healthcare Administration, or related field.
Experienced working in payment integrity or healthcare claims analytics environments with a strong focus on data accuracy and quality.
Demonstrated ability to manage end-to-end reporting accuracy and reconcile complex numerical data across multiple systems.
Capable of cross-functional collaboration and communicating complex analytic findings clearly to diverse teams including leadership.