Senior Analyst – Data & Analytics

American Express

. Collect, clean, validate, and organize data from portfolio, project, financial, operational, and technology delivery sources .

Posted 9/24/2026full-timeCharlotte • North Carolina • United StatesSenior💰 $89,250 - $150,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics, financial management, and technology delivery, with a strong foundation in data collection, validation, and visualization. Proficient in developing financial models and analytical outputs to support decision-making across various business functions.

Highest-signal resume keywords

Data AnalyticsFinancial ManagementAgile MethodologyDashboard DevelopmentSQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data CollectionData ValidationData AnalysisFinancial ModelingForecastingCost TrackingVariance AnalysisKPI ReportingScenario AnalysisInsight Generation

Soft Skills

Analytical ThinkingAttention to DetailCommunicationOrganizationProblem SolvingCollaboration

Tools & Technologies

ExcelPowerPointSQLPythonTableauPower BIJiraRallyConfluenceMicrosoft Project

Industry Keywords

Business IntelligencePortfolio ReportingTechnology DeliveryData Informed Decision MakingSoftware Development LifecycleGenerative AIAI GovernancePredictive AnalyticsOperational AnalyticsData Governance

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Collect, clean, validate, and organize data from portfolio, project, financial, operational, and technology delivery sources
Analyze portfolio performance, budget, forecast, resource, delivery, schedule, quality, and risk information to identify trends, insights, and follow-up areas
Create and maintain dashboards, reports, key performance indicators, recurring analytics outputs, and leadership-ready summaries
Develop financial models, cost views, forecast summaries, scenario analyses, and variance insights supporting technology portfolio and project decisions
Partner with technology, finance, product, project, and business teams to translate reporting needs 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 communicating data-backed insights to technical and non-technical audiences
Use Agentic AI, reporting, data analytics, and productivity tools for research, summarization, analysis, workflow efficiency, and human-validated outputs

Requirements

What you’ll need

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
Preferred: coursework, projects, internships, student organizations, or extracurricular experience related to data analytics, finance, business analysis, reporting, portfolio management, or technology delivery
Preferred: experience using Excel, PowerPoint, SQL, Python, Tableau, Power BI, or similar platforms
Preferred: exposure to financial modeling, dashboard development, KPI reporting, forecast reconciliation, cost analysis, or operational analytics
Preferred: familiarity with Jira, Rally, Confluence, SharePoint, Microsoft Project, or related workflow platforms
Preferred: exposure to data requirements, source-to-target mapping, data quality and controls, metadata, lineage, or data governance
Preferred: interest in AI governance, model risk management, responsible AI, explainability, enterprise data architecture, predictive analytics, or quantum computing research

Benefits

Comp & perks

Competitive base salaries
Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities