Head of Analytics and Business Intelligence

Runpod

5d • $200,000 - $280,000 • Remote

About The Position

Runpod is seeking a Head of Analytics and Business Intelligence to lead and grow its analytics function. This role will be responsible for how the company measures itself and ensures insights reach decision-makers. The Head of Analytics will manage a team of analysts and BI practitioners, set the analytics roadmap, and serve as the senior analytics partner to leadership across Product, Supply, Finance, Engineering, Security, and Go-to-Market. The position requires navigating the complexities of Runpod's consumption-based, marketplace-shaped business, building metric definitions, models, and a self-serve layer to understand dynamics like GPU-hour utilization, workload mix, and supply-side economics. The role offers the opportunity to define key metrics, identify business opportunities, build a scalable analytics operating model, and translate complex data into clear recommendations for executives and the board, ultimately shaping how Runpod uses data for company-level decisions and leading the analytics function to drive the business forward.

Requirements

• 8+ years of experience in analytics, business intelligence, or data science, including ownership of business-critical metrics with executive visibility.
• 3+ years of experience managing analytics or BI teams, with a track record of hiring, developing, and retaining strong practitioners.
• Deep hands-on fluency in SQL and modern analytics engineering practices, including dbt or equivalent, with enough warehouse expertise to make sound modeling and performance trade-offs.
• Experience with usage-based, consumption, or marketplace business models and the metrics that govern them, including utilization, unit economics, expansion and contraction on usage, and two-sided supply and demand dynamics.
• Demonstrated ability to define a metric layer from a messy starting point and drive organization-wide adoption.
• Strong judgment and urgency, with the ability to determine when a fast, directionally correct answer is more valuable than a perfect answer delivered too late.
• Ability to approach questions objectively, form a view from evidence and data, and optimize for what is best for the business.
• Proven ability to thrive in startup environments as a proactive partner to the business.
• Strong communication and stakeholder management skills, including the ability to challenge assumptions with data while maintaining strong relationships.
• Ability to work effectively across Product, Finance, Data Engineering, Security, Go-to-Market, and Supply.
• Successful completion of a background check.

Nice To Haves

• Advanced degree in Statistics, Economics, Computer Science, Mathematics, or a related field, or equivalent significant industry experience in analytics leadership.

Responsibilities

• Lead, coach, and grow a team of analysts and BI practitioners, including hiring, career development, prioritization, and raising the technical bar of the work.
• Drive company strategy proactively from a data perspective by identifying the data levers that can transform the business, quantifying opportunities, and delivering clear paths to action for leadership.
• Own Runpod's core metric layer, defining and maintaining consistent definitions for utilization, retention, net revenue retention, margin, and marketplace supply/demand health.
• Set the analytics roadmap in partnership with Product, Finance, and GTM leadership, balancing recurring reporting needs with deeper analysis that changes decisions.
• Drive analysis of consumption-based revenue and customer behavior, including cohort retention, expansion and churn on usage, savings plan adoption, spot vs. reserved mix, and serverless workload economics.
• Build the self-serve analytics layer so stakeholders can answer routine questions independently, reserving the team's capacity for higher-judgment work.
• Partner closely with Data Engineering on modeling, data quality, freshness, and SOC 2 requirements for the analytics platform.
• Establish experimentation and measurement practices, including guardrails for interpreting results.
• Represent analytics in executive and board-level reporting, translating ambiguous business questions into analysis and clear recommendations.

Benefits

• Competitive base pay ($200,000- $280,000 usd)
• Meaningful equity in a fast-growing company
• Generous medical, dental & vision plans (100% covered for employees, partial for dependents)
• Flexible PTO
• Remote work first
• $1,200 Home Office & Equipment Stipend

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed