Senior Analytics Engineer

About This Role

Tile Health’s analytics engineers sit at the crossroads of data engineering and analytics, owning the semantic layer that transforms raw health data into reliable metrics. As a Senior Analytics Engineer, you will design dbt models, define business logic for clinical quality measures, and ensure that every stakeholder-from data scientists to clinical operations leads-trusts the numbers they see. You will champion data quality and documentation as first-class concerns.

What You'll Do

• Design and maintain dbt transformation models that produce clinical, financial, and operational datasets from raw source data
• Define reusable metric definitions for clinical quality measures (HEDIS, CMS Stars) and financial KPIs (PMPM, MLR)
• Implement data testing strategies including schema tests, freshness checks, and cross-source reconciliation
• Build and curate a self-service data catalog with clear documentation of table definitions, column semantics, and known caveats
• Partner with BI analysts and product teams to optimize query performance and dashboard load times

What We're Looking For

• 4+ years of experience as an analytics engineer, data analyst, or BI engineer working with complex datasets
• Advanced SQL proficiency with experience writing performant queries against large-scale analytical databases
• Hands-on experience with dbt (dbt Core or dbt Cloud) including model structuring, testing, and documentation
• Familiarity with healthcare data domains such as claims adjudication, clinical encounters, and pharmacy transactions
• Experience with version control (Git) and CI/CD pipelines for data transformations
• Strong communication skills for collaborating with clinicians and business stakeholders on metric definitions

Nice to Have

• Experience with Snowflake, BigQuery, or Databricks SQL
• Familiarity with semantic layer tools such as Lightdash, Looker, or MetricFlow
• Background in healthcare quality measurement or NCQA reporting