AVP, Analytics- Lifestyle (L10)

Job Description:

Role Title: AVP, Analytics- Lifestyle (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 Ambition Box Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies.

• Synchrony celebrates ~51% women diversity, 105+ people with disabilities, and ~50 veterans and veteran family members.

• 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 -Lifestyle (Individual Contributor) role is a part of India Analytics Hub (IAH). The role will deliver high-visibility and high-impact projects, working in close collaboration with IAH and US Analytics teams to help solve key business problems with solutions that are powered by data and analytics. This role will be working in a consulting model and develop analytic solutions focused on enabling company’s growth and profitability

Key Responsibilities:

• Lead analytics project assignments from scoping to delivery and solve business problems through basic to advanced analytics/data science streams, as applicable

• Develop customized analytics and data science solutions, catering to business objectives and priorities

• Work hands-on to derive insights from data using analytic techniques and provide actionable recommendations to enable effective decision making

• Acquire proficiency on varied data and analytic tools, software, techniques to improve current capabilities, create new analytics/data science solutions and proactively exhibit thought leadership

• Deliver projects, adhering to expected timelines, accuracy & compliance with meticulous project management and mentor team members on analytical, technical and functional subject matters.

• Contribute to internal initiatives, perform other duties and/or special projects, as assigned

• Establish strong project management rhythm that exemplifies transparency and ownership.

Required Skills/Knowledge:

• Minimum 4+ years of hands-on SQL and SAS programming experience with an ability to leverage advanced algorithms and be efficient in handling complex/large data sets

• Experience with data visualization tools such as Tableau

• Strong understanding of targeting and segmentation

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

• Minimum 3 years of experience in leveraging data/analytics to drive strategy with positive outcomes

• Experience in credit card or financial services

Desired Skills/Knowledge:

• Good knowledge of latest Analytical practices in the Industry.

• Experience in working with Python an R, preferably in a Linux-based cloud environment such as AWS

• Knowledge of multivariable calculus and linear algebra with predictive performance or algorithm optimization techniques, ML methods like k-Nearest Neighbors, Naive Bayes, SVM, Random Forest, etc.

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 work 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. 

For Internal Applicants:

• Understand the criteria or mandatory skills required for the role, before applying

• Inform your manager or HRM before applying for the role on Workday

• Ensure that your professional profile is updated (fields such as education, prior experience, 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, PIP)

• Employees who have completed 18 months in the org. and 12 months in current role and level are only eligible

• L08 + Employees can apply

Grade/Level: 10

Job Family Group: