Lead Data Analyst - Azure Databricks and Healthcare Domain

Primary Responsibilities:

• Analytics & Insights Leadership (Primary Focus)
  • Lead end‑to‑end analytical initiatives, from business problem definition through insight generation and executive‑ready outputs
  • Design and deliver analytical datasets, KPIs, metrics, and dashboards using Databricks SQL and PySpark
  • Translate complex healthcare, claims, and financial data into clear, actionable insights and recommendations for senior leadership
  • Support medical cost trend analysis, risk identification, savings validation, leakage analysis, and forecasting accuracy improvements
• Healthcare Data Analysis
  • Perform advanced analysis on large‑scale healthcare data, including:
    • Claims and Payment Integrity datasets
    • Actuarial and forecasting data
    • EMR/EHR‑adjacent healthcare data
    • Partner with payment integrity, actuarial, finance, and clinical stakeholders to understand analytical needs and shape insight‑driven solutions
    • Validate business rules, assumptions, calculation logic, and analytical methodologies used in reporting and models
• Data Engineering & Platform Enablement (Secondary skills)
  • Contribute hands‑on to the development and optimization of analytical data pipelines in Databricks using PySpark and SQL
  • Collaborate with data engineering teams to:
  • Define data models and analytical layer requirements
  • Improve data availability, quality, and performance for analytics use cases
  • Optimize queries, transformations, and datasets for performance, scalability, and cost efficiency within lakehouse and warehouse environments.
  • Support data readiness for downstream use cases including BI reporting, AI/ML, and executive analytics
• Governance, Quality & Compliance
  • Implement and enforce data quality checks, controls, and documentation for analytical datasets
  • Ensure compliance with HIPAA, HITRUST, and enterprise data governance standards
  • Support metadata management, lineage, and access controls using Unity Catalog and related enterprise tooling
• Leadership & Mentorship
  • Mentor and guide data analysts and senior analysts, promoting best practices in analytics, storytelling, and validation
  • Review analytical deliverables for accuracy, clarity, and business relevance
    • Act as a thought partner to business leaders, influencing decisions through data and insights