Analytics Manager, Consumer Analytics

Affirm Affirm · Fintech · United States · Remote · Consumer Analytics

This role is for an Analytics Manager at Affirm, focusing on consumer analytics within the Risk & Analytics team. The primary responsibilities involve using data-driven insights to inform business strategy, design and run experiments, analyze performance, and build analytical frameworks. The role also includes managing a team of analysts, developing analytics roadmaps, and collaborating with cross-functional partners. The focus is on risk mitigation, servicing strategies, and forecasting for the loan portfolio. While the role uses data and analytics extensively, it does not involve core AI/ML model development.

What you'd actually do

  1. Empower the organization with strong hypotheses, insights, and recommendations to build and prioritize Servicing product & Operations roadmaps
  2. Develop and execute end-to-end analytics roadmap by partnering closely with product, operations, commercial, engineering and other teams to grow the Affirm network
  3. Collaborate with cross-functional partners to understand their business priorities, formulate and execute end-to-end analytics workflow that includes defining critical metrics, data instrumentation and gathering, experimentation, analysis, and building meaningful dashboards and forecasts
  4. Translate analytical outcomes and results into compelling narratives/presentations for multiple levels of leadership
  5. Improve the overall efficiency of the team through automation and implementation of best practices

Skills

Required

  • 7+ years of proven ability in an analytical role
  • 3+ years of directly managing small teams of analysts
  • Strong social skills
  • Experience managing and collaborating on cross-functionally projects
  • Experience with simultaneously balancing multiple workstreams and prioritizing team's roadmap
  • Experience pulling and joining large data sets with SQL
  • Performing analysis using tools such as Python, Notebooks, R, or Excel
  • Ability to start with an ambiguous problem, deconstruct it into tangible steps, and work towards an impactful solution
  • Proficiency in communicating research and analysis to technical and non-technical audiences
  • An appreciation for qualitative and quantitative analysis
  • working understanding of proper measurement and experimentation
  • guiding junior analysts

Nice to have

  • Enough laziness to find a faster way to do your least favorite tasks

What the JD emphasized

  • managing other analysts
  • managing and collaborating on cross-functionally projects
  • balancing multiple workstreams and prioritizing team's roadmap
  • pulling and joining large data sets with SQL
  • performing analysis using tools such as Python, Notebooks, R, or Excel
  • start with an ambiguous problem, deconstruct it into tangible steps, and work towards an impactful solution
  • communicating research and analysis to technical and non-technical audiences
  • guiding junior analysts