VP, Amazon Analytics

Role Summary/Purpose: The VP, Analytics will lead portfolio analytics for the Amazon Credit and Payment portfolio, delivering insights, strategic initiatives, and decision-making framework that support nexGen growth strategy, improve portfolio performance, and enhance customer experience (including Amazon product ratings). This role partners closely with Amazon Client and internal stakeholders across Marketing, Credit, Finance, Product, and Operations to develop portfolio segmentation, forecasting, lifecycle measurement, and test-and-learn analytics.Essential Responsibilities: Lead end-to-end analytics delivery: problem definition, data sourcing/mining, analysis, insight synthesis, and executive-ready recommendations.Partner with Marketing, Finance, and Client teams to design and evaluate lifecycle and targeted campaigns, including segmentation strategy, test design, channel/touchpoint recommendations, and cost/benefit analysis.Drive ongoing portfolio performance reviews (KPI trends and diagnostics, portfolio segmentation, product KPIs) to inform business strategy and marketing prioritization.Build and evolve dashboards and reporting to monitor performance, diagnose drivers, and support timely decision-making.Deliver campaign measurement and optimization analytics; reinforce a “test and learn” culture through continuous testing.Collaborate cross-functionally (Product, Marketing, Finance, Credit, Operations) to improve customer experience while achieving growth and profitability goals.Provide leadership and coaching to analysts; prioritize work across onshore and offshore teams to ensure high-quality, on-time delivery.Act as an analytics and strategy advisor for large initiatives, leading measurement approach, analysis, and performance readouts.Perform other duties and/or special projects as assigned.Qualifications/Requirements: Bachelor’s degree or in lieu of a Bachelor's Degree, a High School Diploma / GED and 9+ years of relevant experience in marketing/portfolio analytics within financial services, credit cards, payments, or retail finance.7+ years of experience, including:3+ years analytics experience within platform, commercial, portfolio. business growth focus or marketing analytics 3+ years using statistical analysis and data warehouse tools - SAS, SQL, Python and/or R3+ years leading large-scale analytics projects1+ year in a client-facing role including influencing business decisions (internal and/or client experience)Ability and flexibility to travel for business as requiredDesired CharacteristicsDegree in a quantitative field (e.g., Statistics, Engineering, Economics, Mathematics) preferred; advanced degree a plus.3+ years in platform, commercial, portfolio or marketing analytics ideally in financial services, credit card payments, or retail financeCredit card product and lifecycle marketing analytics experience preferred.Experience in consumer financial services, credit card payments, retail, fintech or consulting with a ...