Head of Analytics and Business Intelligence
New
R
RunpodAI Infrastructure
Remote - USAFull-TimeManager
Salary$200,000- $280,000 usd
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Job Details
- Experience
- 8+ years of experience in analytics, business intelligence, or data science; 3+ years of experience managing teams
- Required Skills
- SQLBusiness IntelligenceSnowflakeData scienceData modelingdbt
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.
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.
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