AVP, Product Optimization Analyst

Synchrony•Lyons, IL

23h•Hybrid

About The Position

Role Summary/Purpose: The AVP, Product Optimization Analyst will be responsible for supporting all related product optimization analytical activities across SYF new products. We are seeking a highly analytical and collaborative Product Optimization Analyst to join our team. This role offers a unique opportunity to work cross-functionally with product, credit, finance, commercial, digital, technology teams to drive analytics and optimization strategies across new and existing products, installment, revolving, digital wallet initiatives, new features, capabilities and distributions channels. The right candidate for this position will have the chance to drive product performance optimization while working on cutting-edge solutions and process innovation, including underwriting enhancements, collaborating with diverse teams to make a significant impact on our digital and financial product offerings. We are looking for an innovative, proactive and naturally curious candidate who will play a central role in working with internal and external parties to deliver best in class analytics to develop and deliver the future strategy for our new product offerings. This role reports to the SVP, Product Optimization. Our Way of Working We’re proud to offer you choice and 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. Occasionally you may be required to commute to our nearest office for in person engagement activities such as business or team meetings, training and culture events.

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 or in lieu of degree 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, 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, others
2+ years of experience with data visualization tools (i.e: Tableau, SAS Viya, Power BI)
Ability and flexibility to travel for business as required

Nice To Haves

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 strongly preferred
Experience justifying assumptions/inputs and explaining complex analytics outputs and recommending strategies to varied stakeholder groups
Project management, communications, multi-tasking, ability to work independently, relationship management skills are keys to success
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 including explaining complex data clear and concisely.
Experience developing, testing, documenting and maintaining standardized outcome metrics meeting diverse client needs and delivering via regular data dashboards to reflect business performance

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 meets 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 SME’s 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/track performance of those strategies
Perform other duties and/or special projects as needed