Senior Analyst, Analytics – Sam’s Club (L09) Full Time

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 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
• Proactively propose, initiate & execute strategic open-ended/ambiguous problems
• 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 experience. Minimum 4+ years of hands-on relevant work experience in lieu of specified degree

Work Timings: 2:00 PM to 11:00 PM IST

This role qualifies for Enhanced Flexibility 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) We are proud to offer flexibility at Synchrony. Our way of working allows you the option to work from home or workspaces in our Regional Engagement Hubs—Hyderabad, Bengaluru, Pune, Kolkata, or Delhi/NCR. Occasionally you may be required to commute or travel to Hyderabad or one of the Regional Engagement Hubs for in person engagement activities such as business or team meetings, trainings, and culture events.

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 (First Formal/Final Formal, LPP)
• L6 to L7 Employees who have completed 12 months in the organization and 12 months in their current role and level are only eligible.
• L8 Employees who have completed 18 months in the organization and 12 months in their current role and level are only eligible.
• L6+ employees can apply for this opportunity.

Grade/Level: 09

Job Family Group

Data Analytics