Senior Analyst-Data Analytics (SQL, Python, GenAI)

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

Build and enhance analytics solutions and data products for affiliates, paid media, and cobrand channels. Lead end-to-end analyses across audience segmentation, experimentation, and funnel optimization to identify acquisition opportunities. Develop models and decisioning strategies using first-party data, applying emerging AI/GenAI techniques to improve targeting precision and analytical productivity. Drive experimentation and investment optimization, collaborating with marketing and technology partners and communicating insights to business leaders.

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FursaFursa
American Express
American Express
1 day ago

Senior Analyst-Data Analytics (SQL, Python, GenAI)

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Build and enhance analytics solutions and data products for affiliates, paid media, and cobrand channels. Lead end-to-end analyses across audience segmentation, experimentation, and funnel optimization to identify acquisition opportunities. Develop models and decisioning strategies using first-party data, applying emerging AI/GenAI techniques to improve targeting precision and analytical productivity. Drive experimentation and investment optimization, collaborating with marketing and technology partners and communicating insights to business 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 to improve targeting accuracy, personalization, and digital acquisition performance.
  • •Own end-to-end analyses for audience segmentation, experimentation, funnel optimization, and acquisition opportunity identification.
  • •Build and enhance models and decisioning strategies leveraging first-party data and digital intelligence capabilities.
  • •Apply emerging AI and GenAI techniques (e.g., intelligent customer journey optimization, semantic modeling, automated insights) to enhance targeting precision and productivity.
  • •Drive experimentation, performance measurement, and investment optimization by designing test structures, evaluating results, and recommending actions to improve conversion and efficiency.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisability BenefitsRetirementPaid LeaveCounseling

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 (e.g., XGBoost, K-Means) and proficiency with SQL and Python, with familiarity in digital analytics or experimentation frameworks.
  • •Experience collaborating within cross-functional teams through data-driven insights.
  • •Ability to manage multiple priorities in a fast-paced, dynamic environment.
Education:Bachelor's
Skills:Analytical thinkingProblem-solvingCross-functional collaborationCommunicationPriority management
Tech Stack:SQLPythonGenAIXGBoostK-MeansSemantic modelingClickstream analyticsIdentity frameworksReal-time recommender systemsML modelsExperimentation frameworks

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