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Senior healthcare-specific analytics role in Hyderabad with common SQL/Python skills yields moderate applicant competition.
High because deep healthcare claims and payment-integrity expertise is required, limiting cross-industry transferability.
High due to explicit 7+ years, mandatory SQL/Python, BI tools, and healthcare/payment integrity expertise.
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Analyze large healthcare datasets (claims, audit outcomes, provider data, financials) to identify trends, inefficiencies, and improvement opportunities.
Build and maintain automated dashboards, reports, and KPI scorecards to monitor audit lifecycle performance, financial accuracy, and operational metrics using SQL, Python, and BI tools.
Collaborate with cross-functional teams (operations, audit, finance, product, leadership) to support strategic decision-making, forecasting, and performance optimization.
7+ years of experience in Data Analytics or Business Intelligence, preferably in healthcare Claims Analytics or Payment Integrity Analytics.
Advanced SQL skills including complex joins, CTEs, stored procedures, and large dataset handling required.
Strong proficiency in Python for automation, reporting workflows, data transformation, and advanced analytics.
Bachelor’s degree in Analytics, Statistics, Computer Science, Finance, Healthcare Administration, or related field.
Experienced in Payment Integrity operations or healthcare claims data analytics with proven ability to monitor productivity, SLAs, financial metrics, and audit workflows.
Skilled at creating automated reporting suites and maintaining accurate, reconciled metrics trusted by business stakeholders.
Operates effectively in fast-paced, cross-functional environments collaborating with multiple teams to deliver actionable insights and process improvements.