Analyst-Data Analytics

American Express
Gurugram
Workplace: HybridFull timeFunction: Data Analytics & Business IntelligenceEducation: bachelorsSkills: ["Communication","Interpersonal skills","Project management","Analytical thinking","Stakeholder management","Cross-functional collaboration","Organization","Personal accountability"]

Drive sentinel and prospect marketing analytics for American Express’s commercial business, using machine learning and advanced quantitative methods to determine value, derive insights, and support actionable strategies. Collaborate cross-functionally with channel owners and end users to develop world-class analytics for gaming prevention and targeting. Explore data mining techniques (regression, clustering, decision trees) and emerging AI/GenAI approaches (LLM and RAG) to enhance targeting precision and analytical productivity.

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American Express
American Express
22 hours ago

Analyst-Data Analytics

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Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Drive sentinel and prospect marketing analytics for American Express’s commercial business, using machine learning and advanced quantitative methods to determine value, derive insights, and support actionable strategies. Collaborate cross-functionally with channel owners and end users to develop world-class analytics for gaming prevention and targeting. Explore data mining techniques (regression, clustering, decision trees) and emerging AI/GenAI approaches (LLM and RAG) to enhance targeting precision and analytical productivity.
Location: Gurugram
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Drive sentinel analytics spanning channels and product offerings, leveraging machine learning and advanced methodologies.
  • •Design and create prospect marketing analytics that quantify value and generate actionable insights for the business.
  • •Develop analytics strategies to support gaming prevention and drive profitable acquisitions for commercial growth.
  • •Explore and apply data mining techniques such as regression analysis, clustering, and decision trees.
  • •Integrate emerging AI/GenAI techniques (including semantic modeling and automated insights) to enhance targeting precision and analytical productivity.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife Insurance401k

Key Requirements

  • •Bachelor’s in engineering or Master’s degree in a quantitative field (e.g., Statistics, Engineering, Physics, Mathematics and Economics) or a PhD is required.
  • •Apply cutting-edge statistical and machine learning techniques to business problems and develop best-in-class data science solutions using external insights.
  • •Have strong communication and interpersonal skills, including the ability to build and retain working relationships.
  • •Demonstrate strong analytical and conceptual thinking to solve business problems and present key findings succinctly to senior leaders and stakeholders.
  • •Effectively project-manage multiple concurrent projects through collaboration across teams and geographies.
Education:Bachelor's in Engineering or quantitative field
Skills:CommunicationInterpersonal skillsProject managementAnalytical thinkingStakeholder managementCross-functional collaborationOrganizationPersonal accountability
Tech Stack:Machine LearningStatistical TechniquesSQLPythonXGBoostK-MeansLLMRAG

Company Brief

American Express
Provides global payment, credit, and travel-related financial services for consumers and businesses. Best known for its charge and credit cards, merchant payment network, and premium customer rewards and servicing.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York City, United States
Founded: 1850
WebsiteLinkedIn