Oversee data aggregation, transformation, and validation workflows to ensure accuracy, completeness, and consistency across analytic environments
Lead end-to-end calculation, review, and reconciliation of key performance indicators (KPIs) and quality measures across multiple business domains
Design reproducible data models, standardized calculation templates, and automated reporting pipelines using SQL, Python, and modern analytics platforms
Define and enforce data validation checkpoints, version control, and business rules; maintain audit-ready documentation and data dictionaries
Partner with business, engineering, and analytics teams to align on specifications, resolve discrepancies, and deliver data products that inform strategy
Produce executive-level dashboards, trend reports, and variance analyses that identify key performance drivers and improvement opportunities
Provide technical guidance, code reviews, and training for analysts and engineers to strengthen analytic consistency and capability across teams
Requirements
12+ years of experience in enterprise data analytics, reporting, or healthcare performance measurement
Advanced proficiency in SQL, Python, and large-scale data platforms (e.g., AWS Redshift, Snowflake, Databricks, or similar)
Strong experience in data validation, multi-source integration, and healthcare performance metric development
Proven ability to communicate analytical findings to executive and technical audiences alike
Benefits
generous, flexible vacation policy
educational assistance
comprehensive health benefits
401(k) employer match
comprehensive leadership and technical development academies
Applicant Tracking System Keywords
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