Synchrony Financial

Senior Analyst Analytics - Cobrand (L9)

Hyderabad IN Full time

Job Description:

Role Title : Senior Analyst Analytics - Cobrand (L9)

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, for all 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:

Manager, Analytics - Cobrand (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.

The role involves developing analytical solutions in partnership with US Analytics teams across marketing planning, measurement and optimization, customer analytics, targeting & segmentation, forecasting, etc. areas to identify growth opportunities , optimize business strategies and derive actionable insights across customer journey.

Key Responsibilities:

  • Lead analytics project assignments from scoping to delivery and solve business problems through basic to advanced analytics as applicable

  • Regularly collaborate with US counterparts to drive priorities & deliverables

  • Lead and deliver variety of short, medium & long-term projects independently from end to end, including ideation, data mining, strategy formulation, and presentation of results and recommendations.

  • Ability to generate insights from the data and provide deep dive analysis

  • Deliver projects adhering to timelines, accuracy & compliance with meticulous project management

  • Understanding the requirements clearly and communicate with stakeholders and internal team members

  • Acquire proficiency with different data tools, software, techniques to improve current capabilities and to create new analytics and data science solutions

Required Skills & Knowledge:

  • 2+ Years of working experience in  SQL / SAS /Tableau with ability to independently build queries for data extraction & aggregation - Comprehend key concepts & processes in Finance ,translate them into quantitative attributes /metrics - Ability to Define Methodology , present insights to larger teams and influence decision making

  • Advanced proficiency in MS-Excel and MS-PowerPoint with superior data analyses and story boarding skills

  • Good understanding of credit card industry financial P&L drivers and key sensitivities

  • Strong written/oral communication & stakeholder management skills

  • Proven ability to independently deliver Analytical solutions for Business problems.

Desired Skills & Knowledge:

  • Strong verbal and written communication skills; ability to engage effectively with a broad range of audiences including senior business leaders, other senior analytics leaders, and highly technical talent

  • Proven hands-on experience utilizing SAS and SQL; Experience with open-source tools such as R and Python a plus; Experience with Tableau a plus

  • Experience with modeling/forecasting, and strong understanding of targeting and segmentation

  • Good understanding of credit card industry financial P&L drivers and key sensitivities

Eligibility Criteria:

Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 2+ years of hands-on relevant analytics experience or Minimum 4+ years of hands-on relevant work experience in lieu of specified degree 

Work Timings: 2 PM to 11 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 (Formal/Final Formal) or LPP

  • L4 to L7+ Employees who have completed 12 months in the organization and 12 months in their current role and level are eligible.

  • L8+ Employees who have completed 18 months in the organization and 12 months in their current role and level are eligible.

Grade / Level - 09

Job Family Group:

Data Analytics