Campus Undergraduate Summer Internship Program - 2027 Data Analytics, Enterprise Technology Services- Charlotte, NC
Charlotte, NC
Internship
Hybrid
$24.05/hr - $63/hr
Intern
American Express is a global financial services company whose Enterprise Technology Services organization supports technology, digital, and data capabilities across the business. The Data Analytics Intern will participate in a 10-week summer internship and support data collection, analysis, governance, modeling, reporting, and emerging technology initiatives to help technology teams make informed decisions.
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
Qualification
Required
* 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
Preferred
* 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
Benefits
Sign-on bonus
Flexible work arrangements and schedules with hybrid and virtual options with Amex Flex
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counselling support through our Healthy Minds program
Career development and training opportunities
American Express is a financial services company that provides credit cards, charge cards, payment solutions, and related services.
