Director of Analytics
About the role
The Director of Analytics, Merchant Ecosystem leads analytics for the Merchant Ecosystem, overseeing both analytics self-serve and merchant and BNPL analytics. This role involves moving from analyst-led reporting to a governed self-service environment, owning the semantic layer, putting analytics agents into real use, governing AI-assisted analysis, and measuring agent answer quality. Additionally, the role focuses on the BNPL application funnel, merchant lifecycle performance, setting the standard for evidence, and leading the team and advising executives.
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.
Requirements
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. 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. Strong funnel and conversion analytics in a high-volume consumer or transactional product, plus solid experimentation skills. Track record of influencing senior leaders and working as a peer to Product, Engineering, and business teams.
Qualifications
Preferred Experience: Snowflake semantic views, Cortex Analyst, or Cortex Agents. Sigma, or another warehouse-native BI tool. BNPL, consumer lending, or payments. Two-sided or merchant-network business.
Skills
Strong understanding of data analytics, machine learning, and AI. Excellent communication and collaboration skills. Ability to influence senior leaders and work effectively with cross-functional teams. Strong analytical and problem-solving skills. Proficiency in SQL, Python, and R. Familiarity with Snowflake, Cortex Analyst, and BNPL, consumer lending, or payments.
Benefits
Competitive pay and stock options. Unlimited PTO. Health Insurance options including Medical, Dental, Vision, Life, EAP, FSA, & Parental Leave. Newly added HSA and Pet Insurance. 401K Plan with Matching. Cell Phone Stipend. Team based strategic planning + Team owned deliverables.
Pay
TBD
Schedule
Remote