▷ Immediate Start: Avp, Analytics – Product Insights

Role Title AVP Analytics - Product Insights Optimization L10 Company Overview Synchrony NYSE SYF is a premier consumer financial services company delivering one of the industry s most complete digitally enabled product suites Our experience expertise and scale encompass a broad spectrum of industries including digital health and wellness retail telecommunications home auto outdoors pet and more We have recently been ranked 2 among India s Best Companies to Work for by Great Place to Work We were among the Top 50 India s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies ranked 3 among Top Rated Companies for Women and Top-Rated Financial Services Companies We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being We provide career advancement and upskilling opportunities focusing on Advancing Diverse Talent to take up leadership roles Organizational Overview Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth Role Summary Purpose AVP-Analytics Product Insights Optimization Individual Contributor role is a part of India Analytics Hub IAH and reports to Product Insights Optimization leader in IAH The desired employee is expected to deliver on business and organizational priorities for the Product Insights and Optimization teams solving problems with solutions that are powered by data and analytics The role involves providing strategic thought leadership and data driven insights on diverse analytics and reporting activities to the product analytics team for multiple Synchrony products and capabilities Essential Responsibilities Partner with India lead to execute on the analytics roadmap vision for the Product Analytics and Consulting team within IAH Provide strategic analytics across consumer and commercial-facing Synchrony products evaluating and optimizing product features pricing and markets Work hands-on and lead analytic projects programs around product launches product optimization cannibalization impact assessment etc from scoping to delivery and solve business problems through basic to advanced analytics data science streams as applicable Identify and execute analytic process improvement opportunities in line with business priorities Support strategic initiatives and analytic solutions end-to-end as assigned time to time Establish a strong partnership with stakeholders through consistent delivery transparency and problem solving mindset Mentor junior team members on technical and functional skills and guide them build progressive thinking towards fulfilling their career objectives and assist hiring for the team as required Contribute to internal initiatives perform other duties and or special projects as assigned Required Skills Knowledge Degree in Statistics Mathematics Economics Engineering or any other quantitative streams with 4 years of hands-on relevant analytics data science experience or in lieu of a degree 6 years of relevant analytics data science experience 4 years of hands-on Experience in SQL SAS with proven ability to leverage advanced algorithms and be efficient in handling complex large data 2 years of experience in BI tools e g Power BI Tableau Birst etc 2 years in marketing analytics with a focus on customer analytics 2 years in building analytics to drive strategy with positive outcomes and measuring impact Proven experience with large-scale data analysis data mining and statistical modeling Ability to solve complex technical and people-oriented problems with minimal supervision Advanced proficiency in MS-Excel and MS-PowerPoint with superior data analyses and story boarding skills Strong written oral communication stakeholder management skills Desired Skills Knowledge Superior thought leadership and framework based solutioning abilities Experience in storytelling presenting to senior leaders with strong communication skills Innovative mindset that looks to improve current capabilities and discover new ones Deeper knowledge of latest tools techniques and trends in data analytics and machine learning Experience working with Python and R preferably in a Linux-based cloud environment such as AWS Experience with modeling forecasting Eligibility Criteria Degree in Statistics Mathematics Economics Engineering or any other quantitative streams with 4 years of hands-on relevant analytics data science experience or in lieu of a degree 6 years of relevant analytics data science experience Work Timings This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06 00 AM Eastern Time - 11 30 AM Eastern Time timings are anchored to US Eastern hours and will adjust twice a year locally This window is for meetings with India and US teams The remaining hours will be flexible for the employee to choose Exceptions may apply periodically due to business needs Please discuss this with the hiring manager for more details The position is remote where you have the option to work from home For Internal Applicants Understand the criteria or mandatory skills required for the role before applying Inform your manager and HRM before applying for any role on Workday Ensure that your professional profile is updated fields such as education prior experience other skills and it is mandatory to upload your updated resume Word or PDF format Must not be any corrective action plan Formal Final Formal LPP L8 Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible L08 Employees can apply Grade Level 10 Job Family Group Data Analytics