Senior Analyst – Data & Analytics

Jobtailor

Charlotte (NC)

On-site

USD 90,000 - 130,000

Full time

2 days ago

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Benefits offered by this job

Agentic AI experience

Data analytics dashboards

Professional development

Job summary

American Express is seeking a data analytics professional to collect, clean, validate, and organize data across portfolios, projects, finances, operations, and technology delivery to support analysis and reporting.

You will create dashboards, reports, KPIs, and leadership-ready summaries for technology stakeholders, develop financial models and scenario analyses, and partner with technology, finance, product, and business teams to translate reporting needs into accurate outputs.

Qualifications

Master’s degree in one of the specified fields completed before start date.
Graduation date between Dec 2026 and Jun 2027.
Interest or experience in data analytics, portfolio reporting, BI, or data-informed decision making.
Foundational knowledge of data analytics concepts and visualization.
Foundational understanding of financial management principles.
Awareness of SDLC and Agile concepts in technology delivery.
Foundational understanding of Generative AI concepts and human validation.
Strong analytical thinking, attention to detail, communication, organization, problem solving, and collaboration.

Responsibilities

Collect, clean, validate, and organize data from diverse sources to support analysis and reporting.
Analyze portfolio performance, budget, forecast, resource, delivery, schedule, quality, and risk.
Create dashboards, reports, KPIs, recurring analytics outputs, and leadership-ready summaries.
Develop financial models, cost views, forecast summaries, scenario analyses, and variance insights.
Partner with technology, finance, product, project, and business teams to translate needs into outputs.
Support SDLC and Agile reporting by analyzing delivery metrics, progress data, dependencies, and patterns.
Prepare presentations and stakeholder updates that communicate data-backed insights.
Use Agentic AI, reporting, data analytics, and productivity tools to support research and validation.

Skills

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

Education

MBA

Master’s in Finance

Master’s in Information Technology

Master’s in Information Systems

Master’s in Business Analytics

Master’s in Data Analytics

Master’s in Computer Science

Master’s in Economics

Tools

Agentic AI

Reporting Tools

Data Analytics Tools

Productivity Tools

Job description

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

Requirements

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

Core Competencies

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.

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