Analyze complex data ecosystems: Understanding pipelines, validate metrics across sources, and identify root causes behind inconsistencies.
Analytics & Reporting: Build dashboards, monitor and analyze performance across returning member cohorts, identifying low-risk segments with strong growth potential and actionable insights.
Forecasting & Performance Management: Support the returning forecast process by analyzing variances between actuals and projections, and improving forecast accuracy over time.
Test-and-Learn Strategy: Design and support execution of the returning marketing and risk roadmap, ensuring a disciplined approach from experimentation through rollout.
Channel Optimization & Expansion: Optimize and expand the marketing channel mix, with a focus on strategies that effectively engage Spanish-speaking members and deepen loyalty.
Cross-functional Collaboration: Partner with Credit Risk, Data Science, Finance, and Product teams to align on strategy, improve processes, and drive business outcomes.
Business Communication: Translate complex analyses into clear, actionable insights. Present recommendations to senior leadership and cross-functional stakeholders to inform strategic and tactical decisions.
Requirements
Bachelor’s degree in a quantitative field (or equivalent experience)
4+ years of experience in an analytical or data-driven role (financial services, fintech, or consulting preferred)
Proven experience analyzing and optimizing marketing performance across channels
Strong SQL skills (any variant); experience with Databricks required; Python or R preferred
Expertise in data visualization tools, such as Tableau, Birst or Power BI
Experience in Amplitude is a plus
Skilled in data storytelling to drive business decisions among technical and non-technical audiences
Proficiency in Microsoft Office (Excel, PowerPoint, Word)
Comfortable operating in a fast-paced, high-growth, and agile environment