You Lead the Way. We’ve Got Your Back.
With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.
At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
The Global Servicing Group (GSG) organization delivers extraordinary customer care to Card Members, merchants, and commercial clients around the world, while providing world-class credit, collections, and fraud services. The GSG MIS COE (part of GSG Global Strategy & Enablement) is the primary point of contact for all Servicing function information needs and is responsible for Executive Decision Support through advanced analytics and MIS. The team has a global footprint, and this position will be based out of the American Express Service Center in Gurgaon, India
Purpose of the Role:
Provide comprehensive MI & Analytical support to Executive Leadership on key operations metrics across Servicing Functions within GSG.
Responsibilities:
- Providing Analytical & Decision Support across GSG through advanced analytics (from sourcingto staging data, generating insights to exposing them for consumption via reporting platforms/strategy implementation)
- Lead the migration of the big data infrastructure to cloud based infrastructure for the Servicing MIS team.
- Systematically identify out of pattern activities in a timely manner and address information gaps by providing insightful analytics
- Track and monitor key performance metrics across Servicing Functions in GSG and support executive MIS
- Utilize various data analysis tools and techniques to identify opportunities for operational efficiency improvement
- Collaborate with stakeholders to understand their analytical needs and translate these into effective solutions.
- Build collaborative relationships across GSG groups and participate on global teams to support process and system improvements through effective use of data
- Stay updated with the latest industry trends and advancements in analytics methodologies and technologies.
Role Requirements:
- Proficiency on Hive/SAS/SQL/Teradata/ Python/ BIG Query/Statistical packages is essential with good understanding of Big Data ecosystems
- Familiarity with GSG functions
- Expertise in NLP, Neural Networks will be an added advantage
- Exposure to data visualization tools especially Tableau
- Proven thought leadership, strong communication and relationship management skills
- Ability to work on multiple projects simultaneously, flexibility and adaptability to work within tight deadlines and changing priorities.
- Conceptual and creative thinker with extensive background and interest in quantitative business analytics
- Project management skills and ability to identify and translate business information needs into insights
Critical Factors to Success:
- Provide analytical and decision support framework and address information gaps through insightful analytics and developing lead indicators
- Build collaborative relationships across GSG groups and participate on global teams evaluating processes and making suggestions for process and system improvements
- Ensure timely and accurate MIS based on customer requirements
- Put enterprise thinking first, connect the role’s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders
- Centrally manage MIS and key operational metrics and address functional data needs across operations and support teams
Past Experience:
- Preferably a minimum 7 years’ experience with at least 4 years in Quantitative Business Analysis/Data Science with experience in handling large data sets
Academic Background:
·Bachelor's Degree or equivalent, preferably in a quantitative field
·Post-graduate degree in a quantitative field will be an added advantage
Enterprise Leadership Behaviors
·Set the Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective
·Bring Others with You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential
- Do It the Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage
We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:
- Competitive base salaries
- Bonus incentives
- Support for financial-well-being and retirement
- Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- Generous paid parental leave policies (depending on your location)
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
