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Analyst-Data Science

American Express · Posted Oct 30

Banking, credit card, payment network, and travel services

Gurugram, HR, IndiaFull-timeHybridMid Level2+ years₹18.0L–₹28.0L yearly<25 applicants
BankingPaymentsCredit CardsFinancial ServicesPublic Company
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About the role

The Analytics (AIM) team, part of Global Strategy & Operations within Global Commercial Services, is the analytical engine enabling the Global Commercial Card business, driving profitable growth in acquisitions through data, analytics, and AI-powered targeting and personalization. This role sits within a customer cross-functional team covering channels and products for the US market, building analytics solutions that shape customer acquisitions and the organic growth roadmap. It requires strong data analytics and commercial card knowledge and involves close collaboration with partners across the Global Commercial Services business at American Express.

What you will do

  • Support Data Driven Strategy: Conduct analysis to evaluate marketing and sales performance, identify customer trends, and uncover opportunities for growth, leveraging AI/GenAI where relevant to accelerate and enhance analytics.
  • Deliver actionable insights: Translate complex data into clear recommendations for senior leadership and functional partners, supporting decision-making on customer engagement, product performance, and revenue outcomes
  • Enable cross-functional decision-making: Effectively engage and deliver results in collaboration with key partners including the functional channel owners, the business partners and end-users of analytical solutions and technology partners
  • Influence and storytelling: Communicate insights in a compelling way, shaping strategic narratives that drive alignment among cross-functional stakeholders and senior leaders
  • Champion Innovation: Experiment with and apply emerging GenAI capabilities to solve business problems and develop innovative Amex use cases

Skills used in this role

What the employer is looking for

  • 2+ years of experience with minimum Bachelor's degree in a quantitative field (e.g. Statistics, Engineering, Physics, Mathematics and Economics).
  • Understanding of key Generative AI concepts and techniques, including prompt engineering techniques, Retrieval-Augmented Generation (RAG), embeddings/vector search, and agentic AI workflows.
  • Strong technical and analytical skills with the ability to apply both quantitative methods and business skills to create insights and drive results
  • Ability to work independently and across a matrix organization partnering with business partners, functional owners, capabilities, technology teams and external vendors
  • Strong programming (SQL and Python) skills with experience in Machine Learning and Data Science
  • Ability to prioritize and manage several concurrent projects through collaboration across teams/geographies

Benefits and support

  • 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

About American Express

American Express Company is a globally recognized multinational financial services corporation specializing in payment cards, travel-related services, and network banking. Founded in 1850, the company provides charge and credit cards, expense management products, and merchant services to consumers, small businesses, and large corporations worldwide. It operates a proprietary payments network known for its premium customer engagement and lifestyle rewards programs.

Industry
Banking
Company size
76800 employees
Founded
1850-03-18
Location
New York City, New York, USA
Funding stage
Public Company

Leadership

SJ
Stephen J. Squeri

Chairman and Chief Executive Officer

CL
Christophe Le Caillec

Chief Financial Officer

RR
Ravi Radhakrishnan

Chief Information Officer and Executive Vice President

MR
Monique R. Herena

Chief Colleague Experience Officer

ER
Elizabeth Rutledge

Chief Marketing Officer

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