AVP, Analytics role leading an analytics team to provide strategic insights and develop capabilities to drive deposits growth at Synchrony. Collaborating with the US Analytics team for actionable insights around customer relationships and marketing investments.
Responsibilities
Provide hands-on analytic support to projects, processes and initiatives tied to the SYF Consumer Bank within Digital Platform Analytics vertical and lead associated India team, catering to business priorities and propose new analytic solutions to optimize business decisions
Proactively manage all analytic projects with weekly update on timeline, status, and resource allocation; Ensure delivery of all BAU and strategic projects based on business demand and requirements
Work hands-on and lead a variety of short, medium & long-term projects for own & with team from beginning to end, including ideation, data mining, strategy formulation, and presentation of results and recommendations, with little or no supervision
Together with US analytics teams, foster strong partnership and engagement with both the internal Synchrony business and client teams
Manage, coach and develop a team of 5 analytics professionals dedicated to India consumer bank
Support recruitment, retention and development of analytic talent.
Develop & apply advanced analytics to optimize business outcomes
Share learnings and capabilities with broader analytics community and play an instrumental role in developing use cases to showcase IAH capabilities
Partner with Analytics CoE teams to drive best practices and centralized analytic capabilities
Drive internal initiatives, perform other duties and/or special projects, as assigned
Requirements
Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 6+ years of relevant analytics experience and in lieu of a degree 8+ years of relevant analytics experience
Minimum 6+ years of experience in core analytics enabling business decisions
Minimum 2+ years of experience in mentoring people, and providing & receiving constructive feedback
Minimum 5 years of hands-on SQL and SAS programming experience with an ability to leverage advanced algorithms and be efficient in handling and translating complex/large data sets into clear, actionable business insights
Hands-on analytical skills, including coding, Tableau, and working with diverse data sources (Oracle DB, EDL, etc.)
Familiarity with statistical methods and tools such as decision trees, regression, segmentation, etc.
Strong at managing and coordinating progress across multiple large projects simultaneously.
Coaching and mentoring skills
Ability to work in matrix organization, make and enable data driven decisions
Demonstrated ability to manage complexity/ambiguity and multiple initiatives
Ability to develop executable strategies, articulate a clear vision, and deliver results
Excellent communication skills both written and verbal
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