Lead Data Analyst, Data Products

About the role

The Lead Data Analyst will be the analytical backbone of CentralReach’s Data Products team. Reporting directly to the VP of Data Products, this position will become the internal expert on the CentralReach data model, design and build reusable analytical structures, and turn ambiguous business questions into testable analyses.

Responsibilities

• Become the internal expert on the CentralReach data model.
• Know how the tables relate, where they break, and what they can and cannot answer.
• Design and build reusable analytical structures (entities, cohorts, episodes, analysis-ready datasets) that downstream work depends on.
• Partner with data product managers and with BI engineers on the handoff to product-facing measures.
• Turn ambiguous business questions into testable analyses with clear assumptions, defensible methodology, and reproducible results.
• Present findings so the so-what is clear and the methodology is auditable. Connect your work to outcomes, including the decisions you informed and the dollars, customers, or clinical results they moved.
• Set the standard for how analytical work is done on the team: documented assumptions, reproducible code, version control, peer review.
• Use AI tooling (LLMs, code copilots, semantic search) as a core part of your workflow.

Requirements

• 8+ years of hands-on healthcare data analytics experience in claims, clinical, or behavioral health data.
• Expert SQL. Can write and tune complex queries at scale, design schemas for analytical use, and review someone else's code and know whether to trust it.
• Demonstrated experience building analytical structures other people consume (marts, semantic layers, reusable cohort or measure definitions).
• Track record of analyses that drove real decisions. You can name the decision and the dollar, customer, or clinical impact.
• Experience in ABA, autism services, or behavioral health analytics.
• Experience with value-based care, alternative payment models, or population health analytics.
• Experience contributing to externally facing data products (benchmarking, payer intelligence, real-world evidence).
• Experience with modern data platforms (Snowflake, Databricks, BigQuery) and semantic-layer tools (dbt, LookML).

Qualifications

• Working fluency with at least one BI tool (Tableau, Power BI, Looker, Sisense, Metabase, or similar) and one analytical language beyond SQL (Python preferred).
• Strong writer and communicator. Can explain complex methodology to a non-technical executive without losing precision.
• Comfort operating with significant autonomy on open-ended questions.
• Active interest in using AI tooling as a core part of how you work.

Benefits

• Hybrid Base Salary Range $140,000—$160,000 USD.
• Comprehensive benefits package including health and dental, paid time off, life insurance, disability coverage and a 401(k) matching.
• Onboarding, ongoing training, mentoring and career pathing.
• Fun and energetic environment fostering a workplace where top talent can thrive and make a real difference in the lives of those we serve.