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 degreeorin 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 R
3+ years leading large-scale analytics projects
1+ year in a client-facing role including influencing business decisions (internal and/or client experience)
Ability and flexibility to travel for business as required
Desired Characteristics
Degree 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 finance
Credit card product and lifecycle marketing analytics experience preferred.
Experience in consumer financial services, credit card payments, retail, fintech or consulting with a consumer data analytics focus.
Ability to problem solve and make progress with minimal supervision and with ambiguity in business requirements
Strong hands-on skills inSQLandSAS; visualization/dashboard experience inTableauorBirst.
Expertise in segmentation and targeting; advanced proficiency inExcelandPowerPoint.
Experience leveraging external/third-party data to drive growth.
Strong executive communication skills and ability to influence senior stakeholders.
Demonstrated ability to operate in a fast-paced, matrixed environment with a mix of strategic and hands-on work.
Grade/Level: 12
The salary range for this position is 135,000.00 - 230,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance.
Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge.
Salaries are adjusted according to market in CA, NY Metro and Seattle.
Our Way of Working:
We’re proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices.You will be required to commute to your nearestHub (either virtual or physical) for in-person engagement activities such as regularbusiness or team meetings, training and culture events.
*Field Sales and some Commercial team roles may have varied location requirements based upon partner obligations or preferences.
Job Family Group:
Data Analytics