Analyst-Data Analytics (Python, SQL, Gen AI)

American Express
Gurugram
Workplace: HybridFull timeFunction: Data Analytics & Business IntelligenceEducation: bachelorsSkills: ["Communication","Interpersonal skills","Analytical thinking","Project management","Collaboration"]

Build and deploy data science and analytics solutions for the AIM (Analytics, Investment & Marketing Enablement) team within GCS Marketing. Drive sentinel analytics across channels and product offerings to support gaming prevention and profitable acquisitions. Design prospect marketing analytics using machine learning, advanced methodologies, and GenAI to deliver actionable insights, define success metrics, and create measurable business impact through cross-functional collaboration.

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FursaFursa
American Express
American Express
1 month ago

Analyst-Data Analytics (Python, SQL, Gen AI)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Build and deploy data science and analytics solutions for the AIM (Analytics, Investment & Marketing Enablement) team within GCS Marketing. Drive sentinel analytics across channels and product offerings to support gaming prevention and profitable acquisitions. Design prospect marketing analytics using machine learning, advanced methodologies, and GenAI to deliver actionable insights, define success metrics, and create measurable business impact through cross-functional collaboration.
Location: Gurugram
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Engage in cross-functional collaboration with channel owners, end-users of data science solutions, and technology partners to deliver results.
  • •Explore and apply data mining techniques including regression analysis, clustering, and decision trees.
  • •Integrate emerging AI and GenAI techniques (e.g., intelligent customer journey optimization, semantic modeling, automated insights) to improve targeting precision.
  • •Resolve issues, define success metrics, and execute to deliver impactful analytics outcomes.
  • •Prioritize highest-impact opportunities and bring organization, initiative, and accountability to multiple concurrent efforts across teams/geographies.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisability BenefitsPaid ParentalWellness StipendCounseling Support

Key Requirements

  • •Bachelor's in engineering or Master’s degree in a quantitative field (e.g., Statistics, Engineering, Physics, Mathematics and Economics) or PhD is required.
  • •Hands-on exposure to data science tools/techniques such as Big Data, PySpark, Hive, Scala, and Python.
  • •Proficiency in applying statistical and machine learning techniques to business problems to develop data science solutions.
  • •Experience with emerging analytics/AI and fast adaptation to an evolving analytics landscape.
  • •Strong communication and interpersonal skills to build and retain working relationships with stakeholders.
Education:Bachelor's in quantitative field (e.g., Statistics, Engineering, Physics, Mathematics and Economics)
Skills:CommunicationInterpersonal skillsAnalytical thinkingProject managementCollaboration
Tech Stack:PythonSQLGen AIMachine learningBig DataPySparkHiveScala

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