Director, Analytics

Responsibilities

• Be the analytical partner operations and commercial leaders rely on
• Conduct deep-dive analyses on enrollment funnels, activation timelines, site performance, and commercial pipeline
• Turn ambiguous business questions into structured analyses with clear, actionable outputs
• Support leadership reviews and board materials with clean data storytelling
• Enable team members across the business to pull and interpret their own data
• Build and maintain trial enrollment and capacity models, both theoretical and bottoms-up
• Own trial enrollment forecasting, integrating site-level data, sponsor information with portfolio-level targets
• Develop scenario analyses to evaluate trade-offs across trials, sites, and investment options
• Support quarterly planning and headcount decisions with rigorous, clearly communicated data
• Raise the analytics bar across the organization

Qualifications

• 10+ years in analytics, business intelligence, or a closely related function in a fast-moving environment
• Expert-level SQL and comfort working directly with large, messy, real-world datasets
• Strong experience with BI tools (Power BI, Looker, Tableau, or equivalent)
• Proven track record of not just building KPI frameworks, dashboards, and automated reporting from scratch, but having strong business acumen and impact
• Experience building forecasting or capacity models, not just reporting on actuals
• Excellent communication you can explain a complex model to a non-technical operator and make it land
• High ownership mindset you run problems to ground and don't wait to be asked and want to build the roadmap for a function
• Strongly preferred: Experience in healthtech, clinical research, or life sciences, familiarity with clinical trials operations, enrollment funnels, or site networks is a real advantage
• Experience with Salesforce or revenue/commercial analytics
• Python or R for advanced modeling
• Experience with modern data warehouses (Snowflake, BigQuery, Redshift)
• Prior experience building or managing a small analytics team