Omada Health's Care Delivery's Capacity & Analytics team needs to improve care team capacity modeling, scheduling, data analysis, reporting, and workforce optimization to ensure efficient, effective, and exceptional delivery of safe care to Omada's members. The Senior Data Analyst will provide data-driven insights and recommendations for precise decision-making within Care Delivery and in collaboration with cross-functional partners.
Requirements
- Advanced level SQL skills
- Expert level excel modeling & data manipulation skills
- Development experience with Tableau (or similar data visualization tool)
- Prior experiencing working in a clinical, operations, supply & demand planning, or healthcare business or data analyst role
- Prior experience with Workday Adaptive Planning software, or similar
- Prior experience working with teams who provide care for Type 2 Diabetes, Hypertension, Behavioral Health, or Physical Therapy patients
- Python/R experience
Responsibilities
- Build and continually improve a new capacity model that evaluates state by state by state clinical licensure, supply, demand, and various workforce management and performance metrics
- Own analysis in support of care delivery initiatives that drive further precision in our operations or care team capacity planning
- Define metrics and KPIs to measure the effectiveness and efficiency of care delivery initiatives and capacity planning efforts
- Design and maintain visually compelling and intuitive Tableau (or other BI tool) dashboards
- Define operational processes and support system enhancements that drive care team capacity & analytics reporting at scale
- Work closely with various care delivery & clinical stakeholders to enhance data visibility and understanding
- Collaborate across multiple teams including care delivery, clinical, analytics, data science, sales operations, and strategic finance
Other
- Bachelor’s degree in engineering, computer science, technology or similar or equivalent blend of work and certification experience required.
- 7+ years of analytics experience
- Strong organizational skills and attention to detail
- Reliable self-starter capable of working with a high degree of autonomy
- Passion for capacity planning, modeling, and workforce management continuous improvement
