Sr. Manager, Analytics

Iterative Health is looking for a Sr Manager, Analytics to be the primary analytics partner to our operations and go-to-market teams. You will own how we define, measure, and improve performance across the business, turning raw data into clear insights that drive smarter decisions and faster execution.

This is a hands-on, high-impact role for someone who loves digging into data, building scalable reporting, and influencing strategy. You’ll work closely with Operations, Sales, and our Finance team to ensure leaders have the metrics and insights they need to grow efficiently.

• Define and standardize KPIs across sales, marketing, professional services and product
• Establish trusted definitions and a single source of truth for performance data
• Ensure teams are aligned on what “good” looks like and how it’s measured

• Conduct deep-dive and ad hoc analyses to identify trends, bottlenecks, and growth opportunities
• Translate business questions into structured analyses and actionable recommendations
• Support planning, prioritization, and leadership reviews with clear data storytelling

• Design and maintain dashboards and automated reporting in SQL and BI tools
• Replace manual spreadsheets with reliable, self-serve analytics
• Make data accessible and easy to use for non-technical stakeholders

• Develop forecasts and models for sales performance, capacity planning, and operational targets
• Run scenario analyses to evaluate trade-offs and risks
  
  

• Work closely with the Business Intelligence team on reporting architecture and analytics tooling
• Collaborate with Finance, who owns the Enterprise Data Warehouse, to ensure clean and reliable upstream data
• Improve data quality, documentation, and governance practices

• Mentor teammates on best practices and enable self-serve reporting
• Champion a metrics-driven culture across the organization

Required Qualifications

• 6–9+ years in data analytics, business intelligence, or similar roles in a fast-paced or high-growth environment
• Advanced SQL and comfort working directly with large, messy datasets
• Strong experience with BI tools (Power BI, Looker, Tableau, etc.)
• Proven track record building dashboards, defining KPIs, and automating reporting
• Experience translating ambiguous business problems into structured analyses
• Excellent communication skills - able to influence leaders and explain insights simply
• Highly self-directed and comfortable owning problems end-to-end
  
  

Preferred Qualifications

• Experience with Salesforce or sales/revenue analytics
• Python or R for advanced analysis
• Experience working with modern data warehouses (Snowflake, BigQuery, Redshift)