Director of Data Analytics & Outcomes Research
Nadia Care, Remote +1
What you need
- 8-12+ years of experience in data analytics, data science, or health economics/outcomes research, including people management experience leading a data team.
- Expert level experience with a mix of statistical tools for economic and statistical analyses, presentation and visualization including R, Python, SQL, SAS, Excel or Google Sheets and Tableau
- Prior experience at a healthcare services company — ideally value-based care, payer-facing, or a company managing outcomes-based contracts .
- Demonstrated ability to translate data into actionable recommendations — not just descriptive reporting, but a defensible perspective on what to do next.
- Expertise in data modeling (entity relationships, table layouts, metric definitions), and experience supporting CEO, COO, and other executive leaders in a health care services company with experience partnering closely with engineering teams on technical implementation.
- Expert in health economics, statistics, biostatistics, epidemiology comparative effectiveness, or real-world evidence methodology
- Comfortable operating in a fast-paced, early-stage, environment with a lean, dynamic team that can develop and pivot when needed
- Excellent oral and written communication skills — able to represent data and outcomes credibly to internal leadership and external payer stakeholders alike.
- Own the development of white papers, presentations, and impact briefs that communicate our clinical and cost evidence to payer clients and internal leadership.
- PhD with 7–10 years of relevant experience, or Master's with 8–12 years, in data analytics, data science, or health economics/outcomes research, including people management experience leading a data team.
Lead analytics team on data architecture, integration, analyses and reporting
- Data architecture: define the conceptual structure of our data — entity relationships, table design, and key attributes, and reporting structure
- Outcomes measurement: build and maintain the analytical framework that identifies what is driving clinical outcomes, retention and Nadia Care’s ROI model for payers, and translate it into recommendations the business can act on.
- Health economics and outcomes research (HEOR): produce the clinical and cost evidence that demonstrates program value to payer clients and members.
- Analyses, inquiries, accuracy: ensure all data analyses are accurate, consistent, and repeatable across contracts/markets.
- Governance: define metric definitions, data limitations, and guardrails that keep dashboards and reporting consistent across the organization.