Director of Analytics

Job Description

Responsibilities

• Own analytics self-serve. Lead the move from analyst-led reporting to governed self-service, and set the adoption targets you report on.
• Own the semantic layer. Own the certified metric layer in Snowflake that both Sigma and AI agents query, so the same question always returns the same answer. Decide what gets certified and who approves changes.
• Put analytics agents into real use. Work with Data Engineering, Product, and AI/ML to give business teams conversational analytics. Choose the use cases, set the guardrails, and drive adoption past the pilot stage.
• Govern AI-assisted analysis. Set accuracy checks, review thresholds, and escalation paths. Measure agent answer quality the way you would measure a model.
• Own the BNPL application funnel. Build the trusted view of the loan journey: application starts, drop-off, decision outcomes, approval and take rates, funding, and loan performance. Find the friction, and work with Product, Credit, and Engineering to remove it.
• Own merchant lifecycle performance. Measure how merchants are acquired, activated, and retained across our verticals. Define what a healthy merchant looks like, and what predicts the ones that stall.
• Set the standard for evidence. Own merchant KPI definitions, and run the experimentation practice: A/B tests, incrementality reads, and elasticity studies.
• Lead the team and advise executives. Manage, coach analysts. Act as the analytics partner to Merchant and company leadership. Expect about 30–40% of your time to be your own hands-on analysis.

What You’ll Bring:

•  8+ years in analytics or data science, including managing and developing analysts. Bachelor’s or master’s degree in a quantitative field.
• Expert SQL, plus working Python or R. You are still comfortable working in the data yourself.
• Proven experience building self-service analytics: certified metric definitions, a semantic or modeling layer, and the data quality practices that keep them trusted.
• Hands-on experience putting LLM- or agent-based analytics into real business use. You can explain how you measured accuracy and handled failure cases.
• Strong funnel and conversion analytics in a high-volume consumer or transactional product, plus solid experimentation skills.
• A track record of influencing senior leaders and working as a peer to Product, Engineering, and business teams.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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