Analyst-Data Analytics

American Express
New York
Workplace: HybridFull timeUSD 78,000 - 124,750 annuallyFunction: Data Analytics & Business IntelligenceEducation: bachelorsSkills: ["Cross-functional collaboration","Independent work","Analytical thinking","Communication","Problem-solving"]

Own end-to-end analytics for Commercial Prospects Direct Mail campaigns, driving profitable customer acquisition and charge volume through ROI-focused optimization. Design and implement analytics and data science solutions across the campaign lifecycle, translate business problems into machine learning tasks, and lead disciplined test-and-learn experimentation. Partner with GCS Prospect marketing, Finance, risk, decision science, and ML/tech teams to improve targeting efficiency and communicate insights to senior stakeholders.

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FursaFursa
American Express
American Express
4 days ago

Analyst-Data Analytics

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Last checked: 1 hour agoStatus: Live

Job Summary

Own end-to-end analytics for Commercial Prospects Direct Mail campaigns, driving profitable customer acquisition and charge volume through ROI-focused optimization. Design and implement analytics and data science solutions across the campaign lifecycle, translate business problems into machine learning tasks, and lead disciplined test-and-learn experimentation. Partner with GCS Prospect marketing, Finance, risk, decision science, and ML/tech teams to improve targeting efficiency and communicate insights to senior stakeholders.
Location: New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Drive profitable acquisitions in the Direct Mail channel by meeting ROI, acquisition, and revenue goals through optimization, experimentation, and analytics-driven insights.
  • •Define, design, create, and implement data science and analytical solutions for Direct Mail campaign lifecycle analytics from lead generation to performance measurement.
  • •Collaborate with stakeholders across GCS Prospect marketing and Finance to set channel goals, influence data-driven strategy changes, and introduce offer personalization.
  • •Research and evaluate new commercial data sources and work with external vendors to improve data quality.
  • •Translate business problems into machine learning problems; collaborate with decision science, ML, and tech teams to determine model value and improve targeting efficiency.

Pay and Benefits

Salary: USD 78,000 - 124,750 annually
Perks:Health InsuranceDentalVisionLife InsuranceDisabilityPaid ParentalRetirement SavingsFlexible Work

Key Requirements

  • •Bachelor’s degree in a quantitative field (e.g., Mathematics, Computer Science, Physics, Engineering, Finance, Economics).
  • •Strong programming skills and strong analytical/technical ability to apply quantitative methods to generate insights and drive results (including A/B testing analysis).
  • •Experience with big data programming languages: HIVE, PIG, SPARK; plus Python (or R or JAVA).
  • •Ability to develop strong SQL skills and solve unstructured, complex business problems; communicate findings to senior leaders succinctly.
  • •Demonstrated ability to work independently and across a matrix organization partnering with marketing, decision sciences, risk teams, and external vendors.
Education:Bachelor's in quantitative field
Skills:Cross-functional collaborationIndependent workAnalytical thinkingCommunicationProblem-solving
Tech Stack:HIVEPIGSPARKPythonRJavaSQLA/B testingMachine learningXGBoostDecision TreesNLP

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