Analytics Lead, Customer Servicing - Remote US

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

We’re looking for a data driven, analytically-minded professional to join the Growth Analytics team to be based in Canada.  The team is responsible for the research, reporting, experimentation and partnership necessary to build outstanding Servicing products, processes, and initiatives. The ideal candidate will have strong analytical and problem solving skills, an eagerness to work cross-functionally, curiosity to learn more every day, and patience to work through difficult and ambiguous problems.

What you'll do

• Empower the organization with strong hypotheses, insights, and recommendations to build and prioritize Servicing product & Operations roadmaps
• Develop and execute end-to-end analytics roadmap by partnering closely with product, operations, commercial, engineering and other teams to grow the Affirm network
• 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
• Translate analytical outcomes and results into compelling narratives/presentations for multiple levels of leadership
• Improve the overall efficiency of the team through automation and implementation of best practices
• Actively contribute to a high-performing team culture, guiding other analysts  to be effective in delivering high-impact and business-driving work

What we look for

• 5+ years of proven ability in an analytical role
• Strong social skills and 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 and performing analysis using tools such as Python, Notebooks, R, or Excel
• Ability to start with an …