Summary

The role of AVP, Analytics is responsible for collaborating with the retail partner and developing actionable analytical insights for the Credit program. This will involve deep dive analytics on retail card shopping patterns using best-in-class techniques and building powerful data driven stories to influence senior leadership and drive business impact.

Responsibilities

· Create analytics frameworks to actively monitor credit member card usage/experience trends and provide insights/actionable to business teams

· Conduct cause and effect analysis, marketing campaign performance deep dives and business initiative impact analysis on a need basis

· Collaborate with offshore analytics talent, coach them by providing analytics project plan & manage timely delivery of lifecycle analytic projects

· Partner with portfolio team and deliver complex analytical projects from beginning to end, including ideation, data mining, strategy formulation, and presentation of results and recommendations

· Present complex analytical information to all levels of management in a clear and concise manner

· Perform other duties and/or special projects as assigned

Requirements:

· 3+ years of progressive work experience including:

   o 2+ years analytics experience in marketing, portfolio management, product development, loyalty programs in credit card / consumer businesses, or credit card risk strategy or retail analytics 

  o  2+ years of experience utilizing SAS, SQL, or other analytic tools to perform data mining and complex analyses

· Bachelor's degree, OR  7+ years analytics experience in marketing, portfolio management, product development, loyalty programs in credit card/consumer businesses, or credit card risk strategy or retail analytics

Preferred Qualifications

· Strong presenter to all levels of management and ability to tell a story with data,  

· Proficient with Python, R, or data visualization tools such as Tableau or D3.js

· Experience with modeling/forecasting, strong understanding of targeting and segmentation, and exposure to retail analytic tools

· Advanced skills using Excel and PowerPoint 

· Solid understanding of credit card industry financial P&L drivers and key sensitivities, with business performance reporting experience 

· Ability to synthesize/analyze complex and diverse information and to develop and recommend strategies and communicate them clearly 

· Ability to perform ad-hoc analysis, glean and form business insights under aggressive timelines 

· Strong project management, communications, multi-tasking, relationship management and influencing skills and the ability to work independently are critical to success 

· Demonstrated ability to manage complexity/ambiguity and multiple initiatives

· Advanced degree in Statistics, Economics, Mathematics, or another quantitative field preferred