[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All American Express jobs](https://jobs.opennash.com/companies/american-express/) · [Search jobs](/search/) American Express · Phoenix, AZ # Campus Graduate Masters Full-Time Senior Analyst - 2027 Data & Analytics, Enterprise Technology Services- Phoenix, AZ Phoenix, AZ, United States Hybrid Early career Data & Analytics Listed on American Express’s official careers site. Posted September 1, 2026. Check that it is still open and apply there. [Apply on American Express’s careers site →](https://egug.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/26013283) [OpenNash Jobs](https://jobs.opennash.com/) / [American Express](https://jobs.opennash.com/companies/american-express/) / Campus Graduate Masters Full-Time Senior Analyst - 2027 Data & Analytics, Enterprise Technology Services- Phoenix, AZ ## Job description Business Unit / Role Specific Info 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 early career data and analytics colleagues to learn, innovate, and make an impact from day one. As an Analyst Data Analytics colleague in Enterprise Technology Services, you will join a full time graduate program and support analytics work that helps technology teams understand portfolio performance, delivery progress, financial trends, resource utilization, and operational outcomes. This role sits at the intersection of technology, finance, portfolio management, reporting, and data analytics. You may gather and validate data, build reports, analyze financial or delivery metrics, support dashboards, develop insights, and prepare clear recommendations that help leaders and teams make informed technology decisions. ## Responsibilities Responsibilities and What Type of Work to Expect 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. ## Qualifications ### Minimum Qualifications 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. 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. ### Preferred Qualifications Master’s degree candidates with an expected graduation date between December 2026 and June 2027. Coursework, projects, internships, student organizations, or extracurricular experience related to data analytics, finance, business analysis, reporting, portfolio management, or technology delivery. Experience using analytical, reporting, or presentation tools such as Excel, PowerPoint, SQL, Python, Tableau, Power BI, or similar platforms. Exposure to financial modeling, dashboard development, key performance indicator reporting, forecast reconciliation, cost analysis, or operational analytics. Interest in technology portfolio management, project performance reporting, resource planning, process improvement, or business intelligence modernization. Familiarity with project or portfolio tools such as Jira, Rally, Confluence, SharePoint, Microsoft Project, or related workflow platforms. Coursework, projects, research, or internship exposure to data requirements, source-to-target mapping, data quality and controls, metadata, lineage, or data governance. 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. 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. Our team reviews applications on a rolling basis. We appreciate your patience while we consider your application and will contact qualified candidates regarding next steps. Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions. ## At a glance - Posted by the employer: Sep 1, 2026 - First seen by OpenNash: Oct 11, 2026 - Last checked: Oct 18, 2026 - Listed for: 47 days - Location: Phoenix, AZ, United States - Work arrangement: Hybrid[Apply on American Express’s careers site →](https://egug.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/26013283) ## More jobs at American Express ### [Campus Graduate Masters Full-Time Manager - 2027 Data Engineer II, Enterprise Technology Services- Phoenix, AZ](https://jobs.opennash.com/companies/american-express/jobs/33479f1f575d6b32e9f5/) Phoenix, AZ, United States ### [Campus Graduate Masters Summer Internship Program - 2027 Data Management, Global Merchant & Network Services - Phoenix, AZ](https://jobs.opennash.com/companies/american-express/jobs/cedddafb95e5a5090d8e/) Phoenix, AZ, United States ### [Campus Undergraduate Full-Time Analyst - 2027 Data & Analytics, Enterprise Technology Services- Phoenix, AZ](https://jobs.opennash.com/companies/american-express/jobs/89c0790ab79182402dc3/) Phoenix, AZ, United States ### [Campus Undergraduate Full-Time Analyst - 2027 Data Engineer I, Enterprise Technology Services- Phoenix, AZ](https://jobs.opennash.com/companies/american-express/jobs/a02f8aec32aed90bc2b4/) Phoenix, AZ, United States ### [Data Engineers](https://jobs.opennash.com/companies/american-express/jobs/40f14e3ebd2dc5ea9348/) Phoenix, AZ, United States ## Similar jobs at other companies ### [Pharmacy Graduate Intern](https://jobs.opennash.com/companies/albertsons/jobs/13b9a73d64426fc247ef/) Albertsons · Phoenix, AZ, United States ### [Full Time Assistant Customer Service Manager DLT in FAIRFAX, VIRGINIA, STORE 253 - FAIRFAX VA-PENDER CAMPUS](https://jobs.opennash.com/companies/kroger/jobs/083975fffb2deefe9010/) Kroger · Fairfax, Virginia ### [Graduate Intern, Economics, Chief Investment Office (CIO) (Non-Campus)](https://jobs.opennash.com/companies/pnc-financial-services/jobs/add5aec46184a54ac647/) PNC Financial Services · New York, NY ### [Graduate Intern, Modeling, Chief Investment Office (CIO) (Non-Campus)](https://jobs.opennash.com/companies/pnc-financial-services/jobs/3828e4fb9d60eb5718ab/) PNC Financial Services · New York, NY ### [Masters Level Full-Time Social Worker](https://jobs.opennash.com/companies/universal-health-services/jobs/579de125064e07ca218c/) Universal Health Services · AMBLER, Pennsylvania OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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