Campus Undergraduate Summer Internship Program - 2027 Data Analytics, Enterprise Technology Services- New York, NY

American Express
New York
Workplace: HybridInternshipUSD 24.05 - 63 hourlyFunction: Data Analytics & Business IntelligenceSkills: ["Analytical thinking","Attention to detail","Communication","Organization","Collaboration"]

Join a 10-week summer internship in Enterprise Technology Services to support data analytics that inform technology and business decisions. You’ll collect, clean, validate, and organize data from technology, portfolio, financial, and architectural sources; document requirements and data lineage; analyze datasets for trends and risks; and help build dashboards, KPIs, governance and executive reporting with clear, stakeholder-ready communication.

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FursaFursa
American Express
American Express
1 week ago

Campus Undergraduate Summer Internship Program - 2027 Data Analytics, Enterprise Technology Services- New York, NY

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Last checked: 4 hours agoStatus: Live

Job Summary

Join a 10-week summer internship in Enterprise Technology Services to support data analytics that inform technology and business decisions. You’ll collect, clean, validate, and organize data from technology, portfolio, financial, and architectural sources; document requirements and data lineage; analyze datasets for trends and risks; and help build dashboards, KPIs, governance and executive reporting with clear, stakeholder-ready communication.
Location: New York
Workplace: Hybrid
Employment Type: Internship
Job Function: Data Analytics & Business Intelligence
Seniority: Intern level

Key Responsibilities

  • •Collect, clean, validate, and organize data from technology, portfolio, financial, operational, architectural, or modeling sources to support analysis and reporting.
  • •Support data requirements, source-to-target mapping, metadata and lineage documentation, and data quality/control checks for assigned projects.
  • •Analyze datasets to identify trends, anomalies, opportunities, risks, and insights for technology and business decision making.
  • •Support dashboards, KPIs, governance reports, executive summaries, and stakeholder-ready presentations.
  • •Partner with technology, product, finance, architecture, risk, data science, and business stakeholders to translate requirements into clear analytical outputs, using AI-enabled tools while validating results.

Pay and Benefits

Salary: USD 24.05 - 63 hourly
Perks:Annual BonusWellness StipendCounselling Support

Key Requirements

  • •Currently enrolled in a full-time Bachelor’s degree program in a relevant discipline (e.g., Business Administration, Finance, Economics, Mathematics/Statistics, Actuarial Science, Data Analytics, Information Systems, Computer Science, Engineering).
  • •Interest in data analytics and related areas such as data architecture, actuarial analytics, model governance, data science, AI, quantum computing, or business intelligence.
  • •Foundational knowledge of data analytics concepts including data collection, validation, analysis, visualization, interpretation, and insight generation.
  • •Foundational understanding of financial/statistical/quantitative analysis, risk analysis, data modeling, or business performance measurement.
  • •Awareness of software delivery concepts (e.g., Agile), data governance, and Generative AI concepts (responsible use and human validation of outputs).
Skills:Analytical thinkingAttention to detailCommunicationOrganizationCollaboration
Languages:US
Tech Stack:ExcelPowerPointSQLPythonRSASTableauPower BIJiraRallyConfluenceSharePointMicrosoft Project

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