Senior Securities & Markets professional at MUFG responsible for data stewardship and clarity. Collaborating with teams to improve the quality and usability of Securities & Markets data.
About the role
- AVP, Lifestyle Analytics responsible for developing analytical solutions for JCrew's portfolio. Collaborating across teams to build scalable tools for business insights.
Responsibilities
- Partner with client & cross functional teams to develop analytics reporting, measurement and diagnostics frameworks needed for the portfolio initiatives
- Develop deeper understanding of business metrics, products and processes
- Provide data driven insights to cross functional stakeholders on business trends
- Present program insights to cross functional leadership
- Develop scalable analytical solutions to measure impact marketing campaigns as needed
- Manage campaign impacts repository and work as guide post for future campaign decisions
- Use data analytics/statistical methods to develop marketing campaign optimization tools and influence stakeholders by developing business cases on the impact of tools
- Run program diagnostics to identify key drivers of business metrics
- Translate diagnostic learnings into business impact stories and partner with cross functional stakeholders to design business actions to realize or mitigate impact
- Collaborate with cross portfolio analytic teams and bring Synchrony analytics best practices to use in the Lifestyle platform
- Develop project review rhythm with key stakeholders
- Communicate analytic plans, provide transparency on delivery timelines and maintain quality project delivery process
- Participate in cross functional analytics projects, business meetings and present to clients as needed
- Present analytical stories to stakeholder and senior leaders as needed
- Work on any adhoc analytical/reporting/data projects as needed
- Perform other duties and/or special projects as assigned.
Requirements
- Bachelor's degree, OR in lieu of degree, high school diploma and 2+ years of progressive work experience in credit card analytics OR retail analytics
- 2+ years of analytics experience utilizing SAS, SQL, or other analytic tools like Python to perform data mining and complex analyses
- analytics experience within Credit card or retail industry experience is strongly preferred
- experience with modeling/forecasting, strong understanding of targeting and segmentation, and exposure to retail analytic tools
- solid understanding of credit card industry financial P&L drivers and key sensitivities, with business performance reporting experience
- strong presenter to all levels of management with an ability to tell the story of data, what is important, and why
- experienced in interacting with senior level executives
- strong project management, communications, multi-tasking, relationship management and influencing skills and the ability to work independently are critical to success
- very strong technical skills for data manipulation and analysis
- advanced degree in Statistics, Economics, Mathematics, or another quantitative field preferred
- proficient with Python, R, or data visualization tools such as Tableau
- advanced skills using Excel and PowerPoint
- 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
- demonstrated ability to manage complexity/ambiguity and multiple initiatives.
Benefits
- flexibility to work from home near one of our Hubs or come into one of our offices
- eligibility for an annual bonus based on individual and company performance
- employee resource groups (ERGs) for community and growth opportunities
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