{"id":1157291,"url":"https://alion.io/job/american-express-campus-graduate-masters-full-time-senior-analyst-2027-data-analytics-enterprise-technology-services-charlotte-nc-2","title":"Campus Graduate Masters Full-Time Senior Analyst - 2027 Data & Analytics, Enterprise Technology Services- Charlotte, NC","company":{"id":2209,"name":"American Express","domain":"americanexpress.com","url":"https://alion.io/company/american-express","size_band":"5000+","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":100,"open_postings":31,"ghost_share":0,"stale_share":0.032,"repost_share":0.032,"time_to_fill_p50_days":3,"computed_at":"2026-09-23T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Charlotte, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":58000,"max_usd":111000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":345},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Confluence","optional":true},{"name":"Jira","optional":true},{"name":"Microsoft Project","optional":true},{"name":"Power BI","optional":true},{"name":"Python","optional":true},{"name":"SharePoint","optional":true},{"name":"SQL","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-09-23T21:39:53Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-24T01:11:44Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"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.\nThis 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.\n Collect, clean, validate, and organize data from portfolio, project, financial, operational, and technology delivery sources to support analysis and reporting. \nAnalyze portfolio performance, budget, forecast, resource, delivery, schedule, quality, and risk information to identify trends, insights, and areas for follow up. \nCreate and maintain dashboards, reports, key performance indicators, recurring analytics outputs, and leadership ready summaries for technology stakeholders. \nDevelop financial models, cost views, forecast summaries, scenario analyses, and variance insights that support technology portfolio and project decision making. \nPartner with technology, finance, product, project, and business teams to understand reporting needs and translate them into accurate analytical outputs. \nSupport Software Development Lifecycle and Agile delivery reporting by analyzing delivery metrics, progress data, dependencies, and execution patterns. \nPrepare presentations, narratives, and stakeholder updates that communicate data backed insights to technical and non technical audiences. \nUse Agentic AI, reporting, data analytics, and productivity tools to support research, summarization, analysis, workflow efficiency, and human validated outputs. \n Minimum Qualifications\nMust 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.\nStudents must have a graduation date between December 2026 and June 2027. \nInterest or experience in data analytics, financial management, portfolio reporting, technology delivery, business intelligence, or data informed decision making. \nFoundational knowledge of data analytics concepts, including data collection, validation, analysis, visualization, and insight generation. \nFoundational understanding of financial management principles such as budgeting, forecasting, cost tracking, variance analysis, or financial modeling. \nAwareness of Software Development Lifecycle and Agile methodology concepts within a technology delivery environment. \nFoundational understanding of Generative AI concepts, responsible use, appropriate use contexts, prompt based workflows, and human validation of AI generated outputs. \nStrong analytical thinking, attention to detail, communication, organization, problem solving, and collaboration skills. \nPreferred Qualifications\nCoursework, projects, internships, student organizations, or extracurricular experience related to data analytics, finance, business analysis, reporting, portfolio management, or technology delivery. \nExperience using analytical, reporting, or presentation tools such as Excel, PowerPoint, SQL, Python, Tableau, Power BI, or similar platforms. \nExposure to financial modeling, dashboard development, key performance indicator reporting, forecast reconciliation, cost analysis, or operational analytics. \nInterest in technology portfolio management, project performance reporting, resource planning, process improvement, or business intelligence modernization. \nFamiliarity with project or portfolio tools such as Jira, Rally, Confluence, SharePoint, Microsoft Project, or related workflow platforms. \nCoursework, projects, research, or internship exposure to data requirements, source-to-target mapping, data quality and controls, metadata, lineage, or data governance. \nExposure to financial modeling, dashboard development, statistical analysis, scenario analysis, model documentation, data quality review, metadata, or data lineage concepts. \nInterest in AI governance, model risk management, responsible AI, explainability, enterprise data architecture, predictive analytics, or quantum computing research. \nCuriosity about Agentic AI reporting, AI enabled analytics, productivity tools, automated insight generation, and responsible validation of AI generated recommendations. \nAbility to build clear narratives from data, communicate findings clearly, and work effectively across finance, technology, architecture, risk, product, and business teams. \nEmployment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.","description_format":"text","description_chars":5055,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Credit Cards"],"lifecycle":[{"event":"open","at":"2026-09-23T22:08:45Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":3,"reasons":["conf:2","win:early","comp:junior,brand"],"computed_at":"2026-09-24T03:29:47Z"},"pay":null,"html_url":"https://alion.io/job/american-express-campus-graduate-masters-full-time-senior-analyst-2027-data-analytics-enterprise-technology-services-charlotte-nc-2","json_url":"https://alion.io/job/american-express-campus-graduate-masters-full-time-senior-analyst-2027-data-analytics-enterprise-technology-services-charlotte-nc-2.json","meta":{"generated_at":"2026-09-24T03:29:47Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}