Senior Analyst – Data & Analytics

Collect, clean, validate, and organize data from portfolio, project, financial, operational, and technology delivery sources to support analysis and reporting
Analyze portfolio performance, budget, forecast, resource, delivery, schedule, quality, and risk information to identify trends, insights, and areas for follow up
Create and maintain dashboards, reports, key performance indicators, recurring analytics outputs, and leadership ready summaries for technology stakeholders
Develop financial models, cost views, forecast summaries, scenario analyses, and variance insights that support technology portfolio and project decision making
Partner with technology, finance, product, project, and business teams to understand reporting needs and translate them into accurate analytical outputs
Support Software Development Lifecycle and Agile delivery reporting by analyzing delivery metrics, progress data, dependencies, and execution patterns
Prepare presentations, narratives, and stakeholder updates that communicate data backed insights to technical and non technical audiences
Use Agentic AI, reporting, data analytics, and productivity tools to support research, summarization, analysis, workflow efficiency, and human validated outputs

• Must have earned a Master's degree in Business Administration, Finance, Information Technology, Information Systems, Business Analytics, Data Analytics, Computer Science, Economics, or another relevant field before the full time start date
• Students must have a graduation date between December 2026 and June 2027
• Interest or experience in data analytics, financial management, portfolio reporting, technology delivery, business intelligence, or data informed decision making
• Foundational knowledge of data analytics concepts, including data collection, validation, analysis, visualization, and insight generation
• Foundational understanding of financial management principles such as budgeting, forecasting, cost tracking, variance analysis, or financial modeling
• Awareness of Software Development Lifecycle and Agile methodology concepts within a technology delivery environment
• Foundational understanding of Generative AI concepts, responsible use, appropriate use contexts, 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; the company will not pursue visa sponsorship for these positions

Demonstrates expertise in data analytics, financial management, and technology delivery, with a strong ability to create insightful reports and dashboards that inform decision-making. Proficient in collaborating with cross-functional teams to translate complex data into actionable insights for both technical and non-technical stakeholders.

• Data Analytics
• Financial Management
• Portfolio Reporting
• Agile Methodology
• Generative AI Concepts

• Data Collection
• Data Validation
• Data Analysis
• Data Visualization
• Financial Modeling
• Budgeting
• Forecasting
• Variance Analysis
• Dashboard Creation
• Performance Indicator Development

• Analytical Thinking
• Attention to Detail
• Communication
• Organization
• Problem Solving
• Collaboration

• Master’s Degree in Business Administration
• Master’s Degree in Finance
• Master’s Degree in Information Technology
• Master’s Degree in Information Systems
• Master’s Degree in Business Analytics
• Master’s Degree in Data Analytics
• Master’s Degree in Computer Science
• Master’s Degree in Economics

• Software Development Lifecycle
• Technology Delivery
• Business Intelligence
• Data Informed Decision Making

• Agentic AI
• Reporting Tools
• Data Analytics Tools
• Productivity Tools