Sr. Analytics Engineer

Company Description

Privia Health™ is a national physician platform transforming the healthcare delivery experience. We provide tailored solutions for physicians and providers, creating value and securing their future. Through high-performance physician groups, accountable care organizations, and population health management programs, Privia works in partnership with health plans, health systems, and employers to better align reimbursements to quality and outcomes.

Job Description

As Privia Health continues to expand, the Analytics team requires an agile and tech-savvy Healthcare Analytics Engineer to bridge the gap between complex raw healthcare data and strategic business operations. In this role, you will design, model, and maintain robust analytics infrastructure by combining advanced SQL practices, BI tooling, and analytics engineering principles. You will sit at the intersection of payer claims (medical, pharmacy, attribution), Electronic Medical Record (EMR/EHR) clinical data, and operational feeds, transforming disparate sources into clean, centralized analytical datasets. Operating in a fast-paced environment, you will empower operational teams, clinical leaders, and business stakeholders with trustworthy insights, rapid ad-hoc query support, and scalable data models that support broad healthcare initiatives—including Value-Based Care (VBC) performance, clinical workflow optimization, and enterprise reporting.

Primary Job Duties

• 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.

Qualifications

• Bachelor’s degree in Healthcare Analytics, Data Science, Computer Science, Health Informatics, Information Systems, or a related quantitative field preferred, or equivalent practical experience.

• 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.

Additional Information

All your information will be kept confidential according to EEO guidelines.

The salary range for this role is $102,000.00 to $120,000.00 in base pay and exclusive of any bonuses or benefits (medical, dental, vision, life, and pet insurance, 401K, paid time off, and other wellness programs) . This role is also eligible for an annual bonus targeted at 15%. The base pay offered will be determined based on relevant factors such as experience, education, and geographic location

Technical Requirements (for remote workers only, not applicable for onsite/in office work):

In order to successfully work remotely, supporting our patients and providers, we require a minimum of 5 MBPS for Download Speed and 3 MBPS for the Upload Speed. This should be acquired prior to the start of your employment. The best measure of your internet speed is to use online speed tests like This gives you an update as to how fast data transfer is with your internet connection and if it meets the minimum speed requirements. Work with your internet provider if you have questions about your connection. Employees who regularly work from home offices are eligible for expense reimbursement to offset this cost.

Privia Health is committed to creating and fostering a work environment that allows and encourages you to bring your whole self to work. We understand that healthcare is local and we are better when our people are a reflection of the communities that we serve. Our goal is to encourage people to pursue all opportunities regardless of their age, color, national origin, physical or mental (dis)ability, race, religion, gender, sex, gender identity and/or expression, marital status, veteran status, or any other characteristic protected by federal, state or local law.

Department: Medical Economics