We are seeking a Principal Data Analyst to lead enterprise-level data operations, analytics governance, and performance measurement initiatives. In this senior position, you will provide both strategic direction and hands-on expertise across the full data lifecycle—transforming complex data into actionable insights that drive business decisions, operational excellence, and quality improvement.

Key Responsibilities

• Lead Data Operations: Oversee data aggregation, transformation, and validation workflows to ensure data accuracy, completeness, and consistency.

• Performance Measurement: Own the design, calculation, and validation of key performance indicators (KPIs) and quality measures across multiple domains.

• Analytical Frameworks: Develop reproducible data models, automated reporting pipelines, and standardized calculation templates using SQL, Python, and modern data platforms.

• Data Governance: Define and enforce validation checkpoints, version control, and audit-ready documentation to uphold data integrity.

• Cross-Functional Collaboration: Partner with business, engineering, and analytics teams to deliver high-impact insights and resolve data discrepancies.

• Insight Generation: Build executive dashboards, variance reports, and trend analyses highlighting key performance drivers.

• Mentorship: Provide technical leadership, conduct code reviews, and coach analysts to ensure analytic excellence across teams.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Public Health, or a related field.

• 12+ years of experience in data analytics, reporting, or performance measurement, ideally within healthcare.

• Strong experience with HEDIS or other healthcare quality measurement frameworks.

• Advanced proficiency in SQL, Python, and modern data platforms (AWS Redshift, Snowflake, Databricks, etc.).

• Deep understanding of data validation, multi-source integration, and KPI development.

• Exceptional analytical, problem-solving, and executive communication skills.

• Proven leadership experience managing teams or large-scale analytical initiatives.