Campus Undergraduate Summer Internship Program - 2027 Data Analytics, Enterprise Technology Services- Charlotte, NC

Quick Facts

Data and Analytics Intern in Enterprise Technology Services (10-week Summer Internship Program). Focus areas may include Technology Business Enablement, Actuarial/Modeling/AI Governance Analytics, Enterprise Business Data Architecture, Data Science, or Quantum Computing Exploration.

Description

You will support analytics work that helps technology teams make informed decisions across governance, architecture, modeling, data science, and emerging technology initiatives. 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.

Responsibilities

• Collect, clean, validate, and organize data from technology, portfolio, financial, operational, architectural, or modeling sources.
• Support data requirements, source-to-target mapping, metadata and lineage documentation, and data quality checks/control validation.
• 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.
• Assist with financial, statistical, quantitative, exploratory, or scenario-based analyses.
• Document assumptions, data sources, requirements, mappings, calculations, methodology, metadata, lineage, data quality, controls, and analytical outputs.
• Partner with technology, product, finance, architecture, risk, data science, and business stakeholders to translate requirements into analytical outputs.
• Use AI-enabled analytics and reporting tools for research, summarization, data exploration, and workflow efficiency while validating outputs.
• Communicate findings clearly to technical and non-technical audiences through written summaries, presentations, dashboards, or discussion materials.

Benefits

• Competitive base salaries
• Flexible work arrangements and schedules with hybrid and virtual options (Amex Flex)
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counselling support through the Healthy Minds program
• Career development and training opportunities

Requirements

• Currently enrolled in a full-time Bachelor’s degree program
• Degree in Business Administration, Finance, Economics, Mathematics, Statistics, Actuarial Science, Data Analytics, Information Systems, Computer Science, Engineering, or related discipline
• Interest in data analytics/technology business enablement/data architecture/actuarial analytics/model governance/data science/AI/quantum computing/business intelligence
• Foundational data analytics knowledge (collection, validation, analysis, visualization, interpretation)
• Foundational understanding of financial, statistical, quantitative, risk, modeling, or business performance measurement concepts
• Awareness of Software Development Lifecycle and Agile methodology or data governance/technology delivery concepts
• Foundational understanding of Generative AI concepts and responsible prompt-based workflows with human validation
• Strong analytical thinking and attention to detail
• Strong communication, organization, problem solving, and collaboration skills
• Employment eligibility to work in the United States without visa sponsorship