Senior Analyst-Data Analytics

American Express
Gurugram
Workplace: HybridFull timeFunction: Data Analytics & Business IntelligenceEducation: bachelorsSkills: ["Analytical thinking","Problem-solving","Cross-functional collaboration","Priority management","Communication"]

Develop analytical solutions and data products to improve audience targeting, personalization, and digital acquisition performance across the full journey. Own end-to-end analyses for segmentation, experimentation, funnel optimization, and acquisition opportunity identification. Build and enhance machine learning models and decisioning strategies using first-party data and GenAI/AI techniques, driving experimentation and measurable performance improvements. Partner cross-functionally and communicate insights and strategy implications to leaders.

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FursaFursa
American Express
American Express
1 day ago

Senior Analyst-Data Analytics

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live
Reposted: similar role first listed 4 weeks ago

Job Summary

Develop analytical solutions and data products to improve audience targeting, personalization, and digital acquisition performance across the full journey. Own end-to-end analyses for segmentation, experimentation, funnel optimization, and acquisition opportunity identification. Build and enhance machine learning models and decisioning strategies using first-party data and GenAI/AI techniques, driving experimentation and measurable performance improvements. Partner cross-functionally and communicate insights and strategy implications to leaders.
Location: Gurugram
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Develop analytical solutions and data products that improve targeting accuracy, personalization, and digital acquisition performance.
  • •Lead end-to-end analyses for audience segmentation, experimentation, funnel optimization, and acquisition opportunity identification.
  • •Build and enhance ML models and decisioning strategies using first-party data and digital intelligence capabilities.
  • •Apply emerging AI and GenAI techniques to optimize customer journeys, semantic modeling, and automated insights.
  • •Drive experimentation and performance measurement, designing test structures and making actionable recommendations; partner with teams to ensure implementation and impact.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisability BenefitsRetirementParental LeaveLearning BudgetCounseling Support

Key Requirements

  • •Master’s/Bachelor’s degree in a quantitative field (e.g., Engineering, Mathematics, Finance, Computer Science, Statistics, Economics).
  • •Strong analytical and problem-solving skills to navigate complex, ambiguous business questions.
  • •Experience building ML models such as XGBoost and K-Means, with proficiency in SQL, Python, or similar; digital analytics/experimentation knowledge is a plus.
  • •Experience collaborating cross-functionally through data-driven insights.
  • •Ability to manage multiple priorities in a fast-paced, dynamic environment.
Experience:Digital marketingPersonalizationExperimentationMachine learningGenAI
Education:Bachelor's in quantitative field
Skills:Analytical thinkingProblem-solvingCross-functional collaborationPriority managementCommunication
Tech Stack:SQLPythonXGBoostK-MeansMachine learningAIGenAISemantic modeling

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