Head of Analytics

Role overview

What you will do

• Own the Business Analytics strategy and roadmap.
• Partner with senior leadership across growth, customer, marketing, supply chain, and operations.
• Prioritize business problems and establish standardized metrics, measurement frameworks, and data governance.
• Build frameworks for diagnosing performance, identifying drivers, recommending actions, and measuring impact.
• Translate complex analysis into strategic recommendations for senior stakeholders.
• Embed AI into analytics workflows, automation, insight generation, and decision-making.
• Partner with Data Engineering and Data Platform teams on the analytical data ecosystem.
• Build experimentation, forecasting, measurement, and self-service analytics capabilities.
• Lead and develop analytics teams and establish operating standards for the function.

Qualifications

• Have 7 or more years of experience in Business Analytics, Data Analytics, Strategy, Consulting, or similar roles.
• Have experience building and leading high-performing analytics teams.
• Have influenced important business decisions with senior leadership.
• Have strong commercial thinking and knowledge of growth, customer behavior, unit economics, and operational levers.
• Have strong technical fundamentals including SQL, data analysis, and modern data platforms and pipelines.
• Have hands-on experience with AI, machine learning, and AI tools for analytical workflows and problem-solving.
• Have experience with experimentation, measurement frameworks, forecasting, business intelligence, and data quality.
• Have experience hiring, coaching, and developing analytics talent.
• Have worked in a D2C, e-commerce, quick-commerce, consumer internet, or high-growth environment.

Operating expectations

• Challenge assumptions with data while applying commercial judgment and understanding business trade-offs.
• Create the next layer of analytics leadership and proactively identify business opportunities.
• Stay accountable beyond the insight by partnering with business teams through execution and measuring delivered impact.
• Maintain rigorous standards for data quality, metric integrity, and analytical decision-making.