AVP, Product Optimization Analyst
Synchrony, Kansas, IL, United States
Role Summary
AVP, Product Optimization Analyst
will support all product optimization analytical activities across SYF new products. The position requires collaboration with product, credit, finance, commercial, digital, and technology teams to drive analytics and optimization strategies for new and existing products, installment, revolving, digital wallet initiatives, new features, capabilities, and distribution channels. The role reports to the SVP, Product Optimization.
Essential Responsibilities
Provide primary analytical support for Product Optimization analytics and strategies; analyze large and complex datasets to uncover insights that inform product optimization strategies.
Collaborate with product, finance, credit, commercial, analytics, client, and digital teams to support and influence the development and enhancement of new products, features, capabilities, and digital wallet solutions.
Analyze and segment customers by product, terms, pricing, behavior, adoption, credit performance, and profitability to ensure targeting strategies meet the needs of our client partners, customers, and SYF.
Leverage client partners’ data share and work with external data providers to understand off‑us customer behaviors, economics, and competitive landscape to optimize products.
Utilize statistical modeling, advanced analytical techniques, and data visualization tools to develop actionable recommendations for business and technical stakeholders.
Design and implement analysis frameworks to measure product performance and identify opportunities for improvement.
Partner with SMEs across the organization to accelerate learning of data structure and contents.
Communicate findings clearly and effectively through reports, dashboards, and presentations to both technical and non‑technical audiences.
Support product testing, experimentation, and validation efforts with rigorous data analysis.
Establish test and control strategies and create metrics to measure and track performance of those strategies.
Perform other duties and/or special projects as needed.
Qualifications / Requirements
Bachelor’s degree in Business, Statistics, Mathematics, Data Science, Economics and 6+ years of progressive work experience with data/analytics in the banking/financial services industry, credit, finance, marketing, modeling; alternatively, 7+ years of work experience establishing and managing analytics in the financial services, credit card, consulting, and/or payments industry.
3+ years using statistical analysis tools such as SAS, R, or Python to perform data mining and complex statistical analyses.
3+ years leading large‑scale analytics projects.
3+ years of experience in analytics roles with cross‑functional stakeholders such as marketing, credit risk, finance, and others.
2+ years of experience with data visualization tools (e.g., Tableau, SAS Viya, Power BI).
Ability and flexibility to travel for business as required.
Desired Characteristics
Master's degree / MBA in Statistics, Economics, Mathematics, or another quantitative field.
Extensive knowledge of card industry P&L, drivers, and assumptions.
Understanding of credit risk performance, targeting and segmentation, retail analytic tools, and advanced skills using Excel and PowerPoint.
Experience justifying assumptions/inputs and explaining complex analytics outputs, recommending strategies to varied stakeholder groups.
Project management, communications, multi‑tasking, independence, and relationship management skills.
Hands‑on experience with statistical modelling and advanced analytics (machine learning) techniques.
Excellent communication and presentation skills with proven experience interacting with all levels of the organization, explaining complex data clearly and concisely.
Experience developing, testing, documenting and maintaining standardized outcome metrics meeting diverse client needs and delivering via regular data dashboards.
Salary Range 115,000.00 - 200,000.00 USD Annual, eligible for an annual bonus based on individual and company performance.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Legal authorization to work in the U.S. is required. We do not sponsor employment visas.
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will support all product optimization analytical activities across SYF new products. The position requires collaboration with product, credit, finance, commercial, digital, and technology teams to drive analytics and optimization strategies for new and existing products, installment, revolving, digital wallet initiatives, new features, capabilities, and distribution channels. The role reports to the SVP, Product Optimization.
Essential Responsibilities
Provide primary analytical support for Product Optimization analytics and strategies; analyze large and complex datasets to uncover insights that inform product optimization strategies.
Collaborate with product, finance, credit, commercial, analytics, client, and digital teams to support and influence the development and enhancement of new products, features, capabilities, and digital wallet solutions.
Analyze and segment customers by product, terms, pricing, behavior, adoption, credit performance, and profitability to ensure targeting strategies meet the needs of our client partners, customers, and SYF.
Leverage client partners’ data share and work with external data providers to understand off‑us customer behaviors, economics, and competitive landscape to optimize products.
Utilize statistical modeling, advanced analytical techniques, and data visualization tools to develop actionable recommendations for business and technical stakeholders.
Design and implement analysis frameworks to measure product performance and identify opportunities for improvement.
Partner with SMEs across the organization to accelerate learning of data structure and contents.
Communicate findings clearly and effectively through reports, dashboards, and presentations to both technical and non‑technical audiences.
Support product testing, experimentation, and validation efforts with rigorous data analysis.
Establish test and control strategies and create metrics to measure and track performance of those strategies.
Perform other duties and/or special projects as needed.
Qualifications / Requirements
Bachelor’s degree in Business, Statistics, Mathematics, Data Science, Economics and 6+ years of progressive work experience with data/analytics in the banking/financial services industry, credit, finance, marketing, modeling; alternatively, 7+ years of work experience establishing and managing analytics in the financial services, credit card, consulting, and/or payments industry.
3+ years using statistical analysis tools such as SAS, R, or Python to perform data mining and complex statistical analyses.
3+ years leading large‑scale analytics projects.
3+ years of experience in analytics roles with cross‑functional stakeholders such as marketing, credit risk, finance, and others.
2+ years of experience with data visualization tools (e.g., Tableau, SAS Viya, Power BI).
Ability and flexibility to travel for business as required.
Desired Characteristics
Master's degree / MBA in Statistics, Economics, Mathematics, or another quantitative field.
Extensive knowledge of card industry P&L, drivers, and assumptions.
Understanding of credit risk performance, targeting and segmentation, retail analytic tools, and advanced skills using Excel and PowerPoint.
Experience justifying assumptions/inputs and explaining complex analytics outputs, recommending strategies to varied stakeholder groups.
Project management, communications, multi‑tasking, independence, and relationship management skills.
Hands‑on experience with statistical modelling and advanced analytics (machine learning) techniques.
Excellent communication and presentation skills with proven experience interacting with all levels of the organization, explaining complex data clearly and concisely.
Experience developing, testing, documenting and maintaining standardized outcome metrics meeting diverse client needs and delivering via regular data dashboards.
Salary Range 115,000.00 - 200,000.00 USD Annual, eligible for an annual bonus based on individual and company performance.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Legal authorization to work in the U.S. is required. We do not sponsor employment visas.
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