L08 Business Leadership Program – Data Analytics

Job Description:
Business Leadership Program – Data Analytics (Open)
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.
• 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.
Business Leadership Program Overview:
Synchrony’s Business Leadership Program (Full-Time) is a two-year, multi-rotation experience that will help you develop the skills needed to accelerate your career. You’ll gain deep expertise across diverse Analytics tracks, with an opportunity to explore different areas of your chosen function. A Data Analytics BLP will get a unique opportunity to rotate across key areas of the analytics team, providing broad exposure to various analytical function, methodologies, and strategic projects. During the two years, you will also engage in a collection of immersive experiences designed to deepen your business knowledge, drive cross-functional exposure, broaden your network, and pay it forward within your community.
The program provides successful graduates with the strong foundation of skills and experiences they need to grow their careers and position themselves for future leadership roles.
Analytics Full-Time BLP Experience: What You’ll Accomplish
Data is integral to who we are and how we address critical business problems. We’re harnessing the power of data to produce invaluable customer insights, and we’re leveraging data science to develop cutting-edge machine learning models to predict customer behavior.
This individual will identify and deliver strategic insights and present those to stakeholders and clients. You will work with large and complex datasets to:
Develop strategies to drive sales performance and loyalty programs with our retail partners
Identify and Drive continued improvement in existing data processes, tools and dashboards
Partner closely with business to do diagnostic deepdives that uncover trends and patterns in customer behavior as a result of changes in business strategy
Build targeting and segmentation strategies to optimize targeting and personalization efforts (including marketing, credit offers)
Analyze customer experience data across channels & products to make data-driven recommendations to improve customer engagement and optimize cost for business
This track is unique because it touches virtually all areas of our business. This means you’ll gain a solid understanding of functions like Marketing, Risk, Credit, Technology, Collections and Operations. You’ll have a hand in creating what’s next, because as data grows, so do your opportunities.
What do we look for in all potential BLPs?
Hands-on Experience using SQL and Microsoft Excel
Ability to effectively work independently and within collaborative teams
Ability to synthesize diverse information to develop and present insights to business in an easy-to-understand manner
Proven leadership both inside and beyond the classroom
Strong communication skills
Demonstrated flexibility, adaptability, and passion for learning
Passion for excellence with high integrity and a commitment to quality
Desired Characteristics for the Data Analytics Track
Academic excellence with financial, quantitative and analytical competency
Experience using PowerPoint
Experience and comfort level working with data of varying sizes and from multiple sources
Prioritization and time management skills
Good presentation, speaking, organizational and problem-solving skills, and the capability to meet deadlines
Ability to perform ad-hoc analysis, bringing independent thought leadership and value-added insights and judgment
Prior data mining experience is helpful
Basic Qualifications & Requirements
Bachelor’s degree in a quantitative discipline like Statistics, Mathematics, Engineering, etc.
Academic record – 7 CGPA
Additional Eligibility Requirements
You must be 18 years or older
Our Commitment
When you join us, you’ll be part of a diverse, inclusive culture where your skills, experience, and voice are not only heard—but valued. We celebrate the differences in all of us and believe that our individual, unique perspectives is what makes Synchrony truly a great place to work. Together, we’re building a future where we can all belong, connect and turn ideals into action. Through the power of our 8 Diversity Networks+, with more than 60% of our workforce engaged, you’ll find community to connect with and find opportunity to go beyond your passions.
This starts when you choose to apply for a role at Synchrony. We ensure all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
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.
Job Family Group:
Data Analytics