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Director of Analytics
Iterative Health · New York, United States
About The Role
Join Iterative Health as the Director of Analytics, where you'll define, measure, and improve performance across the business. This hands-on role involves establishing the metrics layer, forecasting infrastructure, and reporting systems that operational and commercial leaders rely on for decision-making. You'll work closely with various teams to turn complex data into actionable insights and support leadership reviews with clean data storytelling. As the analytics function matures, you'll have the opportunity to build and develop a small analytics team.
- Establishing the metrics layer, forecasting infrastructure, and reporting systems that operational and commercial leaders depend on to make good decisions.
- Partnering closely with teams across site operations, activations, capacity planning, and commercial to turn complex data into clear, actionable insights.
- Conducting deep-dive analyses on enrollment funnels, activation timelines, site performance, and commercial pipeline, and turning ambiguous business questions into structured analyses.
- High ownership mindset you run problems to ground and don't wait to be asked and want to build the roadmap for a function
- 10+ years in analytics, business intelligence, or a closely related function in a fast-moving environment
- Strong experience with BI tools (Power BI, Looker, Tableau, or equivalent)
- Excellent communication you can explain a complex model to a non-technical operator and make it land
- Proven track record of not just building KPI frameworks, dashboards, and automated reporting from scratch, but having strong business acumen and impact
- Expert-level SQL and comfort working directly with large, messy, real-world datasets
- Experience building forecasting or capacity models, not just reporting on actuals
- Experience in healthtech, clinical research, or life sciences, familiarity with clinical trials operations, enrollment funnels, or site networks is a real advantage
- Experience with modern data warehouses (Snowflake, BigQuery, Redshift)
- Python or R for advanced modeling
- Experience with Salesforce or revenue/commercial analytics
- Prior experience building or managing a small analytics team
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