Founding Analytics Engineer
Founding Analytics Engineer builds analytics infrastructure from scratch, designs data models and metrics frameworks for healthcare financial data, and creates self-service dashboards. Requires 5+ years experience with SQL, dbt, Python, and cloud data warehouses; NYC-based hybrid role.
About the job
Responsibilities
- Build the analytics infrastructure from scratch - design and implement the entire analytics stack, including the data warehouse architecture, transformation layer, semantic layer, and visualization tools.
- Establish foundational data models - create robust, scalable data models that transform raw healthcare financial data into clear, actionable metrics and insights.
- Design the metrics framework - work with leadership to define key business metrics, establish metrics definitions, and build the infrastructure to track them reliably.
- Create self-service analytics capabilities - build intuitive dashboards and analytics tools that enable both internal teams and customers to understand revenue cycle performance, identify uncollected revenue, and track financial health.
- Drive the analytics roadmap - partner closely with product, engineering, and customer success to prioritize analytics initiatives, define requirements, and ensure we're building the right solutions.
- Build data transformation pipelines - implement modern ELT/ETL patterns using tools like dbt to ensure data quality, reliability, and performance at scale.
- Establish best practices and standards - define data governance policies, documentation standards, testing frameworks, and code review processes.
- Define business logic - collaborate on complex revenue recognition rules, financial calculations, and healthcare billing logic.
Requirements
- 5+ years of experience in analytics engineering, data analytics, or business intelligence, with a focus on building data models and metrics frameworks.
- Proficiency in SQL and data modeling best practices.
- Modern analytics tools such as dbt, Looker, Tableau, or similar.
- Python for data analysis and automation.
- Data warehousing concepts and cloud data platforms (Snowflake, BigQuery, Redshift, etc.).
- Version control and CI/CD workflows such as GitHub Actions.
Nice-to-Haves
- Experience working with healthcare data or financial analytics.
Compensation
- Base pay range: $120,000–$235,000 per year.
- Competitive compensation packages and strong equity.
Skills
SQL, dbt, Looker, Tableau, Python, Snowflake, BigQuery, Redshift, GitHub Actions, Data Modeling
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