Data Analyst
Opportunity Overview: We are seeking a highly analytical, detail-oriented, and results-driven Data Analyst to join our dynamic Payment Integrity team. This role is critical in transforming complex healthcare claims, provider, operational, and financial data into actionable insights that improve business performance, optimize audit outcomes, and drive operational excellence. The ideal candidate will be highly skilled at uncovering patterns in data, connecting the dots across multiple data sources, identifying process inefficiencies, and recommending corrective actions. You will partner closely with engineering, operations, audit, finance, product, and leadership teams to support strategic decision-making through advanced analytics, dashboarding, forecasting, automation, and performance measurement. This opportunity is ideal for a self-motivated professional who thrives in a fast-paced, high-growth environment and enjoys solving complex business problems through data. What you’ll do: Analyze large healthcare datasets including medical claims, audit outcomes, provider data, reimbursements, appeals, invoices, outreach activity, and operational performance metrics to identify trends, anomalies, and business opportunities. Build analytics to support provider outreach effectiveness, response tracking, follow-up performance, and provider abrasion control initiatives. Monitor and improve end-to-end audit lifecycle SLAs, turnaround time (TAT), queue aging, throughput, and productivity metrics. Perform invoice reconciliation by validating recoveries, fees, payments, billing outputs, and financial reporting accuracy. Build and maintain dashboards, scorecards, and KPI reporting using Power BI, Tableau, Looker, or similar tools. Develop automated daily, weekly, and monthly reports for operational, financial, and executive stakeholders. Be flexible and responsive in generating ad hoc reports and business analysis based on evolving operational priorities. Ensure all reports, dashboards, and published metrics are accurate, reconciled, and aligned across systems. Create profiling reports for auditors, providers, clients, claims inventory, productivity, and recoveries; continuously monitor for changes, trends, and performance drift. Detect operational drift, unusual patterns, leakage points, and inefficiencies; recommend corrective actions to improve overall process efficiency. Uncover hidden patterns in data and connect insights across multiple sources to support business decisions. Perform root cause analysis on missed recoveries, SLA breaches, provider abrasion, operational delays, and reporting variances. Use advanced analytics and forecasting to support staffing models, productivity planning, and business growth initiatives. Create and optimize complex queries, data models, and automated workflows using SQL and Python. Partner closely with operations, audit, finance, product, and leadership teams to support strategic decision-making through analytics and re...