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Lead Data Analyst

Persistent Systems
Maharashtra, IND
Full-time
Hybrid
Discovered 3 weeks ago
Healthcare analyticsClaims, provider, member, vision, dental, and financial dataSQLAzure DatabricksSpark / Spark SQLDelta Lake

Full Job Posting

About the role

Persistent seeks a Lead Data Analyst focused on healthcare analytics, source-to-target mapping, and cloud data platforms.

The role drives data analysis, business insights, governance, and analytics enablement across healthcare claims, provider, member, and financial datasets.

Role details state full-time employment, 8–12 years of experience, and availability at all Persistent locations.

Responsibilities

  • Profile and assess healthcare claims, provider, member, finance, vision, and dental datasets; identify anomalies, trends, and data-quality issues and drive resolution.
  • Create and maintain source-to-target mappings, business rules, transformations, glossary terms, and enterprise data definitions.
  • Translate stakeholder requirements into analytical and technical solutions; manage data intake and onboard datasets and business domains.
  • Liaise with business users, subject-matter experts, engineers, and data scientists to clarify requirements and validate solutions.
  • Develop complex SQL for extraction, transformation, reconciliation, validation, and reporting; work with large-scale data using Azure Databricks, Spark SQL, and Python.
  • Validate engineering data-pipeline outputs and collaborate on scalable, secure, high-performing data solutions.
  • Support data governance, quality, and regulatory standards; implement validation frameworks, reconciliation controls, and monitoring.
  • Document lineage, transformation logic, metadata, and business rules; support forecasting, reporting, operational analytics, and AI/ML initiatives.

Required qualifications

  • Requires 8–12 years in data analysis, healthcare analytics, data engineering, business intelligence, or analytics platforms.
  • Requires healthcare data expertise across claims, provider, member, vision, dental, and financial datasets.
  • Requires advanced SQL, hands-on Azure Databricks, Spark, Delta Lake, cloud platforms, and strong Python skills.
  • Requires source-to-target mapping experience and knowledge of data warehousing, dimensional modeling, ETL/ELT, and enterprise analytics.
  • Requires Azure cloud experience, root-cause analysis, data validation, business-rule implementation, and issue resolution.
  • Requires experience supporting BI, reporting, advanced analytics, or AI/ML initiatives and strong analytical, communication, collaboration, and stakeholder skills.
  • Snowflake and cloud data warehouse knowledge is an advantage.

Benefits and workplace

  • Benefits include salary and benefits, talent development, company-sponsored education and certifications, flexible work hours, health check-ups, and insurance coverage.
  • Persistent describes its work environment as hybrid with flexible hours and accessibility-friendly office facilities.

About Persistent

Persistent is an AI-led, platform-driven digital engineering and enterprise modernization partner serving clients across industries.

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