Head of Analytics and Business Intelligence

Runpod

. Lead, coach, and grow a team of analysts and BI practitioners .

Posted 9/17/2026full-timeRemote • United StatesLead💰 $200,000 - $280,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analytics leadership, including team management, metric layer development, and strategic data analysis. Proficient in SQL and modern analytics engineering practices, with a strong focus on driving business outcomes through data-driven insights.

Highest-signal resume keywords

Analytics LeadershipSQL ProficiencyTeam ManagementBusiness Intelligence StrategyData-Driven Decision Making

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLAnalytics EngineeringData ModelingMetric Layer DevelopmentCohort AnalysisUtilization AnalysisConsumption-Based Revenue AnalysisExperimentation PracticesData Quality ManagementMarketplace Business Models

Soft Skills

Strong CommunicationStakeholder ManagementJudgmentUrgencyAdaptability

Tools & Technologies

DbtData WarehousingSelf-Serve Analytics

Industry Keywords

Business IntelligenceData ScienceStartup EnvironmentsExecutive ReportingSOC 2 Compliance

Tech Stack

Tools & technologies

SQLGo

About the role

Key responsibilities & impact

Lead, coach, and grow a team of analysts and BI practitioners
Hire, develop, retain, prioritize, and raise the technical bar of analytics practitioners
Drive company strategy by identifying data levers, quantifying opportunities, and delivering actionable recommendations
Own the core metric layer, including utilization, retention, net revenue retention, margin, and marketplace supply/demand health
Set the analytics roadmap with Product, Finance, and Go-to-Market leadership
Analyze consumption-based revenue and customer behavior, including cohort retention, usage expansion and churn, savings plan adoption, spot versus reserved mix, and serverless workload economics
Build a self-serve analytics layer for routine stakeholder questions
Partner with Data Engineering on modeling, data quality, freshness, and SOC 2 requirements
Establish experimentation and measurement practices and interpretation guardrails
Represent analytics in executive and board-level reporting
Translate ambiguous business questions into analysis and clear recommendations

Requirements

What you’ll need

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
Deep hands-on fluency in SQL and modern analytics engineering practices, including dbt or equivalent
Warehouse expertise for modeling and performance trade-offs
Experience with usage-based, consumption, or marketplace business models
Experience with utilization, unit economics, usage expansion and contraction, and two-sided supply and demand dynamics
Ability to define a metric layer from a messy starting point and drive organization-wide adoption
Strong judgment and urgency
Ability to form views from evidence and data and optimize for business outcomes
Ability to thrive in startup environments
Strong communication and stakeholder management skills
Ability to work across Product, Finance, Data Engineering, Security, Go-to-Market, and Supply
Successful completion of a background check
U.S. work authorization; Runpod is unable to sponsor employment visas
Advanced degree in Statistics, Economics, Computer Science, Mathematics, or a related field, or equivalent significant industry experience in analytics leadership (preferred)

Benefits

Comp & perks

Meaningful equity in a fast-growing company
Medical, dental & vision plans; 100% coverage for employees and partial coverage for dependents
Flexible PTO
Remote-first work arrangements
Inclusive, collaborative teams
$1,200 Home Office & Equipment Stipend
Culture, learning, and ownership opportunities