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Role Title: Senior Analyst, Analytics - Sam's Club (L09)
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 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:
Senior Analyst, Sam's Club Analytics (individual contributor) role is a part of India Analytics Hub (IAH). Our Analytics team comprises of data analysts who focus on improving customer/product/digital/ journey experience etc. and growth by providing full stack descriptive to prescriptive analytics via cutting edge technologies to support business objectives. Seeking intellectually curious candidate with a passion for delivering impact in the sales and marketing analytics world, capable of problem solving and working independently. The selected candidate will be part of Sam's Club Analytics team and will be responsible for executing segmentation strategies, identifying actionable portfolio insights, developing strategic recommendations, and client reporting in order, to drive growth, thought leadership & Innovation.
Key Responsibilities:
Develop actionable insights on key business drivers and identify revenue opportunities using data visualization and storytelling
Execute segmentation strategies including those that support dormancy, sales potential and others; explore new ways of segmentation to drive growth
Analyze campaign performance and provide recommendations to optimize targeting and ROI
Use internal and external data to develop strategic recommendations to grow share of wallet and maximize profitability
Deep dive and deliver on Ad-hoc & Strategic projects
Thought Leadership / Ability to self-complete projects with less guidance
Create/Maintain and deliver solutions/reports to allow business partners and external customers to self-service and empower them to run their business
Required Skills/Knowledge:
Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 2+ years of hands-on relevant analytics/data science experience. Minimum 4+ years of hands-on relevant work experience in lieu of specified degree.
2+ years of hands-on Experience in SQL/SAS/Python/Open-Source Tools with ability to independently build queries for data extraction & aggregation.
1+ year of hands-on experience of latest Analytics Data Visualization tools like Tableau.
Comprehend key concepts & processes in Retail/BFSI domains, translate them into quantitative attributes/metrics.
Ability to Define Methodology, present insights to larger teams and influence decision making.
Ability to identify process improvements and proactively propose the solutions.
Adherence to timely delivery, accuracy and documentation in line with Audit Procedures.
Desired Skills/Knowledge:
Demonstrated critical thinking and ability to manage complex/ambiguous initiatives.
Good working knowledge of statistical and data science concepts.
Advanced proficiency in MS-Excel and MS-PowerPoint with superior data analyses and story boarding skills.
Eligibility Criteria:
Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 2+ years of hands-on relevant analytics/data science
