We’re hiring an Analytics Engineer to support and scale clinical programs, with a strong focus on building analytics foundations for programs that will be centered around Rightway’s care complete initiatives.
Requirements
- Apply hands-on analytics engineering expertise to solve complex, fast-paced business and clinical problems using data.
- Design, develop and maintain scalable, analytics-ready data models and pipelines (primarily in dbt) that power clinical program reporting, metrics and insights in our Unified Data Warehouse (UDW).
- Partner closely with clinical program leaders, analysts, product teams, and operations stakeholders to understand program workflows (e.g., enrollment, adherence, outcomes, follow-ups) and translate them into intuitive, well-documented data models.
- Own KPI and metric definitions end-to-end, from raw source data through production-grade models, ensuring consistency, transparency, and trust in reporting.
- Implement automated data validation, testing, and quality checks to ensure high data reliability across clinical and operational datasets.
- Continuously optimize data models and warehouse performance for both cost and speed as usage scales.
- Contribute to analytics governance by establishing guardrails, documentation, and best practices that improve accountability, ownership, and data literacy across teams.
- Communicate insights effectively by developing clear data memos, documentation, and presentations tailored to clinical and business stakeholders.
- Explore and integrate AI-enabled analytics and predictive modeling use cases (e.g., adherence risk, program outcomes, operational forecasting) into the analytics stack.
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance