AVP, Analytics Lifestyle

As an AVP, Analytics at Synchrony, your role involves developing analytical solutions in partnership with US Analytics teams across various areas such as marketing planning, customer analytics, forecasting, etc. to identify growth opportunities, optimize business strategies, and derive actionable insights across the customer journey. **Key Responsibilities:** - Act as a trusted business consultant and advisor by translating business needs into data-driven KPIs, dashboards, and actionable insights. - Lead and deliver advanced analytics solutions to solve critical business challenges. - Influence decision-making with data-backed analyses and measurable business impact. - Establish and maintain strong relationships with US and IAH teams to drive collaboration. - Provide hands-on leadership for complex, high-impact projects. - Foster a culture of innovation, learning, and sustainability within the team. - Manage people-related responsibilities including team planning, hiring, performance reviews, and career development. **Qualifications Required:** - Minimum 6 years of hands-on experience in SQL and SAS programming, working with complex datasets and leveraging advanced algorithms. - At least 2 years of experience managing and developing talent with a focus on constructive feedback and coaching. - Advanced proficiency in MS Excel and PowerPoint, with strong data analysis, storytelling, and dashboarding skills; experience with Tableau is required. - Excellent verbal and written communication skills to engage diverse audiences. - Proven ability to solve complex technical and interpersonal challenges independently. - Solid understanding of targeting, segmentation, and campaign measurement. - Good knowledge of the credit card industry and associated business dynamics. **Desired Skills & Knowledge:** - Proven hands-on experience utilizing SAS and SQL. - Proven experience in storytelling and presenting insights effectively to senior leaders. - Hands-on experience with open-source analytics tools such as R and Python (a plus). - Experience with modeling, forecasting, and advanced statistical techniques (preferred). - Familiarity with financial P&L drivers and key sensitivities specific to the credit card business. In this role, you are required to have a Bachelor's degree in Statistics, Mathematics, Economics, Engineering, or other quantitative fields with 6+ years of hands-on analytics experience. Alternatively, you should have 8+ years of relevant experience in analytics. The work timings are flexible between 06:00 AM Eastern Time and 11:30 AM Eastern Time with the option to work remotely. Please note that as an internal applicant, you must understand the criteria and mandatory skills required for the role, inform your manager and HRM before applying, ensure your professional profile is updated, and meet the eligibility criteria specified.,