Campus Undergraduate Summer Internship Program - 2027 Data Analytics, Enterprise Technology Services- Phoenix, AZ

American Express • Phoenix, AZ

6d • Onsite

About The Position

The Enterprise Technology Services organization partners with every part of the American Express business to power the company’s growth and innovation with trust and efficiency, and drive competitive differentiation with speed. We support the delivery and operations of technology, digital, and data capabilities, platforms, and services globally. Specifically, our team is responsible for the company’s technology engineering, architecture, and infrastructure, providing 24x7 support to ensure an uninterrupted, high-quality experience for customers and colleagues. We also provide product management for core enterprise platforms, and lead technology risk and information security, enterprise data governance and platforms, digital product and design, and enterprise AI platforms on behalf of the company. At American Express, we empower future data professionals to learn, innovate, and make an impact from day one. As a Data and Analytics Intern in Enterprise Technology Services, you will join a 10 week Summer Internship Program and support analytics work that helps technology teams make informed decisions across governance, architecture, modeling, data science, and emerging technology initiatives. This role is designed for students interested in using data, analytics, financial insight, modeling, AI, or quantitative methods to solve business and technology problems. Depending on team alignment, you may work with technology business enablement, governance, model focused teams, enterprise business data architecture, data science teams, or quantum computing exploration efforts.

Requirements

• Currently enrolled in a full time Bachelor’s degree program in Business Administration, Finance, Economics, Mathematics, Statistics, Actuarial Science, Data Analytics, Information Systems, Computer Science, Engineering, or a related discipline.
• Interest in one or more areas such as data analytics, technology business enablement, 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 analysis, statistics, quantitative analysis, risk analysis, data modeling, or business performance measurement.
• Awareness of Software Development Lifecycle, Agile methodology, data governance, or technology delivery concepts.
• Foundational understanding of Generative AI concepts, responsible use, prompt based workflows, and human validation of AI generated outputs.
• Strong analytical thinking, attention to detail, communication, organization, problem solving, and collaboration skills.
• Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.

Nice To Haves

• Bachelor’s degree candidates with an expected graduation date between December 2027 and June 2028.
• Coursework, projects, research, student organizations, or internship experience related to data analytics, finance, actuarial science, quantitative modeling, data science, business analysis, architecture, AI, or emerging technologies.
• Coursework, projects, research, or internship exposure to data requirements, source-to-target mapping, data quality and controls, metadata, lineage, or data governance.
• Experience using analytical, reporting, or presentation tools such as Excel, PowerPoint, SQL, Python, R, SAS, Tableau, Power BI, or similar platforms.
• Exposure to financial modeling, dashboard development, statistical analysis, scenario analysis, model documentation, data quality review, metadata, or data lineage concepts.
• Interest in AI governance, model risk management, responsible AI, explainability, enterprise data architecture, predictive analytics, or quantum computing research.
• Familiarity with project, portfolio, or workflow tools such as Jira, Rally, Confluence, SharePoint, Microsoft Project, or related platforms.
• Curiosity about Agentic AI reporting, AI enabled analytics, productivity tools, automated insight generation, and responsible validation of AI generated recommendations.
• Ability to build clear narratives from data, communicate findings clearly, and work effectively across finance, technology, architecture, risk, product, and business teams.

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 checks or control validation for assigned projects.
• Analyze datasets to identify trends, anomalies, opportunities, risks, and insights relevant to technology and business decision making.
• Support dashboards, key performance indicators, governance reports, executive summaries, and stakeholder ready presentations.
• Assist with financial, statistical, quantitative, exploratory, or scenario based analyses based on team placement and project needs.
• Document assumptions, data sources, requirements, mappings, calculations, methodology, metadata, lineage, data quality and control considerations, and analytical outputs to support transparency, traceability, and reproducibility.
• Partner with technology, product, finance, architecture, risk, data science, and business stakeholders to understand requirements and translate them into clear analytical outputs.
• Use AI enabled analytics, productivity, and reporting tools to support research, summarization, data exploration, and workflow efficiency while validating outputs before use.
• Communicate findings clearly to technical and non technical audiences through written summaries, presentations, dashboards, or discussion materials.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern