Director, Analytics

Iterative Health is looking for a Director of Analytics to own how we define, measure, and improve performance across the business. This is a build role, you'll be establishing the metrics layer, forecasting infrastructure, and reporting systems that our operational and commercial leaders depend on to make good decisions. You’ll be helping our leaders define what good looks like and help them unlock growth. 

You'll partner closely with teams across site operations, activations, capacity planning, and commercial to turn complex data into clear, actionable insights. The work spans everything from KPI definition and dashboard development to forecasting and trial enrollment modeling, with a direct line to the decisions that drive growth.

This is a hands-on role. You'll write SQL, build dashboards, and work directly in the data alongside the people you support. Over time you'll grow a small team, but the expectation is that you're a practitioner first.

Your primary customers are our operational and commercial leaders. They're smart, data-savvy, and move fast. Your job is to make sure they have what they need to make good decisions — and to push back when the data tells a different story than the narrative.

• 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

You'll be setting the standard for how Iterative Health uses data. That means building the infrastructure and also shaping the culture around it.

• Design and maintain dashboards in SQL and BI tools (Power BI, Looker, or equivalent)
• Mentor teammates and cross-functional partners on analytical best practices
• Champion data governance, documentation, and quality across the analytics function
• Hire and develop a small analytics team as the function matures

Iterative Health has ambitious targets across patient enrollment, site activation, capacity growth, and commercial growth. Right now, the infrastructure to measure progress against those targets consistently and reliably is still being built. You'll own that build.

• Define and standardize KPIs across site operations, activations, patient funnel performance, and commercial
• Establish a single source of truth including trusted definitions, clean lineage, documented logic
• Partner with Finance (who owns the Enterprise Data Warehouse) and the BI team to ensure clean upstream data and sound architecture
• Replace manual spreadsheets and one-off analyses with reliable, self-serve reporting

• 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

• 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