Collects, analyzes, and reports product data to support decisions on day-to-day operations, strategic planning/forecasting and business issues/insights. Applies quantitative analysis, data mining and other advanced analytics techniques to better understand how users interact with products. Recommends which product data and metrics to monitor and measure to produce relevant business insights, including new and alternative data sources. Gathers, manipulates, and explores large datasets to test hypotheses, extract useful insights and create forecasts
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you'll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
Skilled in reporting/analytical applications (Python, Power BI, Data Modelling, and strong Excel Skills)
With hands-on Python skills, understands and applies Artificial Intelligence, Machine Learning Models (Regression and Classification), Business Intelligence and Visualization trends, and market standard methodologies
Experience in using LLMs (OpenAI GPT Models and Claude Code), Retrieval Augmented Generation (RAG), LangChain and Vectorization Techniques (TFIDF, Glove, BGE and Open AI Embeddings).
Knowledge on implementing Agentic AI use cases will be Plus.
Organizational Context
Reports to Portfolio/Product Director within Technology Portfolio Transformation Organization of Technology Business Enablement (TBE) Unit.
Education & Experience:
2-3+ years of experience in Data Analytics/Data Science Roles.
Experience with Agile and iterative software development methodologies
Proven track record managing large, complex features or products with multiple partners
Bachelor's Degree in related field required; advanced degree preferred
Knowledge/Skills:
Skilled in reporting/analytical applications (Python, Power BI, AI/ML, Data Modelling and strong Excel Skills)
Technology Core Competencies
Data Science and Analytics
Engineering Background
Agile Practices
Game Changers
Collaboration & Teamwork
Curiosity
Learnability
Role Core Competencies:
Technical
Python, Power BI, Machine Learning, Artificial Intelligence - Emerging Technologies
Programming / Scripting Functional
Data Analysis
Data Visualization and Insights
Leadership
Analytical Thinking
Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.
Assists in developing data reports and dashboards to support product stakeholders and collaborators.
Supports product teams with statistical and quantitative analysis.
Works with business subject matter experts for Data Analysis on leveraging the expertise on Portfolio Metrics, Agility Metrics and Productivity Metrics.
Works with disparate datasets to prepare reporting or analytical models.
Summarizes results to address identified product team needs.
Translates complex technical concepts and analysis to non-technical audiences.
Works with product subject matter experts to define data and analytics requirements.
Contribute to project plans, use cases, user stories, or business cases.
Coordinates for the execution of the Data Analytics plan.
Convert Data into Insights with Data Analytical Skills using GEN AI Toolsets available within Amex.
Participates in Program Increment (PI) meetings and ensures the Stories and Features are planned in the backlog.
Understands and applies Artificial Intelligence, Machine Learning, BI and Visualization trends, and market standard methodologies
Coordinates communications and facilitates resolution of risks, issues, and changes tied to the product backlog
Assists in developing data reports and dashboards to support product stakeholders and collaborators.
Supports product teams with statistical and quantitative analysis.
Works with business subject matter experts for Data Analysis on leveraging the expertise on Portfolio Metrics, Agility Metrics and Productivity Metrics.
Works with disparate datasets to prepare reporting or analytical models.
Summarizes results to address identified product team needs.
Translates complex technical concepts and analysis to non-technical audiences.
Works with product subject matter experts to define data and analytics requirements.
Contribute to project plans, use cases, user stories, or business cases.
Coordinates for the execution of the Data Analytics plan.
Convert Data into Insights with Data Analytical Skills using GEN AI Toolsets available within Amex.
Participates in Program Increment (PI) meetings and ensures the Stories and Features are planned in the backlog.
Understands and applies Artificial Intelligence, Machine Learning, BI and Visualization trends, and market standard methodologies
Coordinates communications and facilitates resolution of risks, issues, and changes tied to the product backlog