Head of Business Analytics

About Anaconda

Be at the center of AI

Anaconda is built to advance AI with open source at scale, giving builders and organizations the confidence to increase productivity, and save time, spend and risk associated with open source. 95% of the Fortune 500 including Panasonic, AmTrust, Booz Allen Hamilton and over 50 million users rely on the value The Anaconda AI Platform delivers through a centralized approach to sourcing, securing, building, and deploying AI. With 21 billion downloads and growing, Anaconda has established itself as the gold standard for Python, data science, and AI and the enterprise-ready solution of choice for AI innovation. Anaconda is backed by world-class investors including Insight Partners. Learn more at https://www.anaconda.com.

Summary:

Anaconda is seeking a Head of Business Analytics to join our Strategy Operations team. The Strategy & Operations team at Anaconda transforms raw data into strategic direction, creating the unified intelligence that powers decisions across our entire organization. We ensure every team has access to clean, consistent, and actionable data that advances our mission to empower builders everywhere to solve problems and innovate with data.

We collaborate across all business functions, taking time to understand each stakeholder's unique needs while maintaining absolute accountability for data accuracy and accessibility. We explore new approaches to data integration and reporting, always seeking the most effective way to serve our internal customers.

As part of the Strategy & Operations team, this role will drive Anaconda's comprehensive data strategy from inception through delivery. You'll shape how we collect, unify, and serve data across Strategy & Operations, Finance, Product & Engineering, and Go-to-Market teams, ensuring every decision maker has access to a single source of truth.

What You'll Do:

• Lead the development and execution of company-wide data and business analytics strategy to ensure unified, accurate reporting across all business functions while partnering transparently with cross-functional leadership teams
• Build scalable business analytics processes and infrastructure that eliminate data discrepancies and create consistent reporting standards across Strategy & Operations, Finance, Product & Engineering, and Go-to-Market teams
• Drive the migration from Tableau to Omni while establishing data governance frameworks that ensure accuracy, consistency, and accessibility across all stakeholder groups
• Partner with data engineering teams to define requirements for data collection, transformation, and delivery using tools like DBT and Snowflake to support business-critical analytics and reporting
• Develop and coach cross-functional teams on data best practices, acting as both strategic advisor and hands-on problem solver to unlock new insights from existing data assets
• Own end-to-end data accountability from initial collection through final reporting, ensuring stakeholders receive clean, validated insights that directly inform strategic decisions and operational execution
• Collaborate with DE to define sources of truth for different data, producers and consuming tools

Your impact will be measured through:

• Reduction in data discrepancies and time-to-resolution for cross-functional reporting conflicts
• Improvement in stakeholder satisfaction with data accuracy, availability, timeliness, and accessibility across all business functions
• Successful execution of technology migration milestones and adoption of unified reporting standards

What You Need:

• 12+ years of experience in business intelligence, data science, or analytics roles with progressive leadership responsibility (prior strategy or management consulting experience is a plus)
• Demonstrated ability building and scaling business analytics processes across multiple business functions in high-growth technology environments
• Experience with modern data stack tools including SQL, data visualization platforms like Tableau or Omni, and cloud-based data warehouses
• Proven track record of managing cross-functional executive stakeholders and translating complex data insights into actionable business strategies
• Working knowledge of data transformation tools such as DBT, Snow