Analyst - Digital Product Analytics
About The Position
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 this 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. Role Description: 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 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.
Requirements
- 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
- Skilled in reporting/analytical applications (Python, Power BI, AI/ML, Data Modelling and strong Excel Skills)
- Data Science and Analytics
- Engineering Background
- Agile Practices
- Collaboration & Teamwork
- Curiosity
- Learnability
- Technical
- Python, Power BI, Machine Learning, Artificial Intelligence - Emerging Technologies
- Programming / Scripting Functional
- Data Analysis
- Data Visualization and Insights
- Analytical Thinking
Nice To Haves
- 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.
Responsibilities
- 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
Benefits
- Competitive base salaries
- Bonus incentives
- 6%25 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
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Number of Employees
5,001-10,000 employees
