Note: The job is a remote job and is open to candidates in USA. Privia Health is a national physician platform focused on transforming healthcare delivery through physician groups, accountable care organizations, and population health management programs. The Senior Analytics Engineer will build and maintain analytics infrastructure that transforms payer claims, clinical, and operational data into reliable datasets, models, and metrics. The role also provides ad hoc analysis and supports healthcare initiatives such as value-based care, clinical workflow optimization, and enterprise reporting.
Responsibilities
- Design, build, and maintain production-ready data models and semantic layers using advanced SQL and analytics engineering best practices to support enterprise reporting and self-service analytics
- Ingest and blend diverse healthcare datasets—including payer claims, attribution rosters, quality measure extracts, EMR/clinical data, and operational logs
- Execute fast-turnaround ad-hoc SQL queries and deep-dive analyses to answer pressing operational, clinical, and financial questions across various business units
- Define and standardize core business metrics across operational domains, including practice operations, provider utilization, clinical quality measures, and VBC performance tracking
- Partner closely with cross-functional stakeholders (IT, Operations, Clinical Support, Payer Relations) to gather requirements, translate operational needs into technical logic, and iterate quickly in an agile environment
- Conduct automated data validation, quality assurance testing, and performance tuning on data warehouse queries and transformation jobs to maintain data integrity
- Serve as an internal SME on data structures, clinical workflows, and payer data layouts, assisting non-technical teams in interpreting underlying data accurately
- Document data models, logic definitions, and data flow pipelines and collaborate with BI teams to ensure transparency and consistency across the enterprise analytics landscape
- Other duties as assigned
Skills
- 3+ years of professional experience in Healthcare Analytics, Analytics Engineering, or Business Intelligence within a provider group, health system, payer, or healthcare technology environment
- Strong domain experience working with both payer claims data (medical, pharmacy, eligibility/attribution) and EMR/clinical data (e.g., Athenahealth, Epic, Cerner)
- Advanced SQL skills: Expert-level ability to write complex queries, multi-table JOINs, CTEs, window functions, query optimization, and data transformation routines
- Exposure to modern analytics engineering workflows and tools (e.g., dbt, Python/Pandas, Git/version control, cloud data warehouses like Snowflake, MS SQL Server, or BigQuery), and Excel
- Familiarity with general healthcare operational metrics as well as Value-Based Care (VBC) concepts (such as risk scores/HCC, quality metrics, and shared savings calculations)
- Proven ability to operate in an agile, fast-paced environment, balancing structured long-term engineering projects with rapid, ad-hoc query requests
- Strong interpersonal and communication skills, with a track record of effectively explaining technical data modeling concepts to operational and clinical stakeholders
- Bachelor's degree in Healthcare Analytics, Data Science, Computer Science, Health Informatics, Information Systems, or a related quantitative field preferred
- Equivalent practical experience
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- Pet insurance
- 401K
- Paid time off
- Other wellness programs
- Annual bonus targeted at 15%
- Employees who regularly work from home offices are eligible for expense reimbursement to offset this cost.
- Remote work
Company Overview
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