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Salary: USD 120,000 - 150,000 / annual
Courier Health is building the future of patient engagement for life sciences companies, helping biopharma organizations support patients with chronic and rare diseases through their treatment journey. You'll join an early-stage, growing data engineering team that is modernizing the company's data platform and analytics capabilities.
In this role, you'll be the owner of business intelligence at Courier Health, driving how internal teams and external clients understand their data. This is hands-on, high-ownership work with real influence over the data platform's direction.
Key responsibilities:
- Own and evolve the BI layer: design, build, and maintain Sigma dashboards and workbooks used for embedded in-product reporting and analytics
- Build the data models underneath: develop dbt models and SQL transformations with tests that turn raw data into reliable, well-documented datasets purpose-built for reporting
- Partner with stakeholders: work directly with internal teams and customer-facing partners to scope reporting needs, define metrics, and translate ambiguous questions into clear, trustworthy dashboards
- Shape the semantic layer: define and maintain consistent metrics, naming conventions, and a shared semantic/metrics layer so numbers mean the same thing everywhere
- Improve pipeline reliability: monitor replication and orchestrated pipelines, investigate data issues, and add quality checks upstream of the datasets you report on
Requirements:
- 3-5 years of professional experience in business intelligence, analytics engineering, or data engineering
- Strong SQL skills: write correct, readable, and performant SQL with strong understanding of relational data modeling
- BI tool experience: built dashboards and reports in a modern BI tool (Sigma, Looker, Tableau, Mode, or similar) that stakeholders actually use and trust; bonus if deployed in production systems or user-facing applications
- Data modeling experience: developed data transformations (ideally in dbt) in production environments
- Stakeholder instincts: can work with non-technical stakeholders to understand actual needs, not just stated requests
- Eagerness to learn: takes feedback well, asks good questions, excited to grow as an engineer
