About the Job
American Express is hiring an Apprentice - Data Analytics for a 6-month apprenticeship. The role will support analytics and insight generation for Amex Offers and Digital Media Analytics, with a focus on offer adoption, revenue growth, merchant engagement, customer relevance, and operational effectiveness.
The apprentice will work alongside experienced professionals and gain hands-on exposure to analytics, digital media, merchant marketing, risk management, and business problem solving. The role also provides an opportunity to understand how data is used to support business decisions and improve customer, merchant, and business outcomes.
Job Overview
Eligibility Criteria
- Must have 0-11 months of internship, academic project, or work experience.
- Must be a graduate in Data Analytics, Business Analytics, Statistics, Economics, Marketing, Management, or a similar discipline.
- Strong working knowledge of SQL.
- Basic analytical and problem-solving skills.
- Good working knowledge of MS Excel, PowerPoint, and Word.
- Strong verbal and written communication skills.
- Familiarity with Generative AI tools such as ChatGPT, Microsoft Copilot, Gemini, or similar LLM-based applications.
- The job information specifies a Bachelor's Degree as the required degree level.
Key Responsibilities
- Develop an understanding of the American Express business, Amex Offers platform, merchant ecosystem, products, and Card Member journey.
- Analyze business, merchant, offer, and customer data to identify trends, risks, opportunities, and actionable insights.
- Support Amex Offers and Digital Media Analytics through performance monitoring, problem-solving, targeting, and process improvement.
- Prepare reports, dashboards, presentations, and structured recommendations for Marketing and partner teams.
- Use AI tools such as ChatGPT, Microsoft Copilot, and other LLMs to support research, analysis, productivity, and content creation.
- Collaborate with cross-functional teams on analytics and business initiatives while clearly communicating insights and recommendations.
- Build proficiency in data tools and analytical techniques to develop scalable solutions and improve offer, merchant, and customer outcomes.
- Translate business questions into structured analysis and actionable insights.
- Manage multiple assignments with ownership, responsiveness, and quality.
- Connect daily work to enterprise, customer, partner, and business outcomes while demonstrating learning agility and sound judgment.
Skills Required
- SQL: Strong working knowledge of SQL for data analysis.
- Data Analytics: Ability to analyze business, merchant, offer, and customer data and identify useful trends and opportunities.
- Analytical Thinking: Basic analytical and problem-solving skills.
- Microsoft Office: Good working knowledge of Excel, PowerPoint, and Word.
- Generative AI: Familiarity with tools such as ChatGPT, Microsoft Copilot, Gemini, or similar LLM-based applications.
- Communication: Strong verbal and written communication skills.
- Business Problem Solving: Ability to translate business questions into structured analysis and actionable insights.
Skills to Add in Your Resume
TECHNICAL SKILLS
| Data & Analytics | SQL, Data Analysis, Business Analytics, Data Interpretation |
| Microsoft Tools | Excel, PowerPoint, Word |
| Generative AI | ChatGPT, Microsoft Copilot, Gemini, LLM-based Applications |
| Visualization | Tableau, Power BI |
| Programming | Python |
| Core Skills | Problem Solving, Business Storytelling, Analytical Thinking, Communication |
Resume Tip: Add only the skills you genuinely know or have worked with through coursework, academic projects, internships, or other relevant experience.
Benefits
- Hands-on experience in data analytics and business problem solving.
- Exposure to Amex Offers and Digital Media Analytics projects.
- Opportunity to learn how data supports business and customer decisions.
- Experience working alongside experienced professionals and cross-functional teams.
- Exposure to merchant marketing, customer analytics, digital media, offer performance, and risk management.
- Opportunity to build proficiency in data tools and analytical techniques.
- Experience using Generative AI tools to support research, analysis, productivity, and content creation.
- Career development and training opportunities as part of Team Amex.
- Exposure to a flexible working model depending on the role and business requirements.
Who Can Apply?
- Graduates with a Bachelor's Degree in Data Analytics, Business Analytics, Statistics, Economics, Marketing, Management, or similar disciplines.
- Candidates with 0-11 months of internship, academic project, or work experience.
- Candidates with strong working knowledge of SQL.
- Candidates with basic analytical and problem-solving skills.
- Candidates familiar with Excel, PowerPoint, and Word.
- Candidates with familiarity with Generative AI tools such as ChatGPT, Microsoft Copilot, Gemini, or similar LLM applications.
- Candidates with academic projects, certifications, or coursework in analytics, AI, data science, business analysis, statistics, mathematics, economics, engineering, or related areas may have an advantage.
- Candidates with exposure to Tableau, Power BI, Python, or advanced AI/ML techniques can also benefit from the preferred qualifications.
How to Apply
01
Visit the Official Application Page
Open the official American Express careers page for the Apprentice - Data Analytics position and review the complete job details.
02
Check Your Eligibility
Make sure you meet the degree, experience, SQL, analytical, MS Office, and Generative AI requirements mentioned in the job posting.
03
Prepare Your Resume
Highlight your SQL skills, analytics projects, academic work, Excel and PowerPoint knowledge, dashboards, visualization experience, and relevant AI tools.
04
Complete the Application
Enter the required information accurately and provide your education, experience, and other requested details through the official application form.
05
Submit Your Application
Review your information and submit the application before the stated application deadline.
Before You Apply
- Read the complete job description carefully before applying for the Apprentice - Data Analytics position.
- Make sure you have a Bachelor's Degree in Data Analytics, Business Analytics, Statistics, Economics, Marketing, Management, or a similar discipline.
- The posting specifies 0-11 months of internship, academic project, or work experience.
- Strong working knowledge of SQL is listed as a minimum qualification.
- Make sure you are comfortable working with Excel, PowerPoint, and Word.
- Familiarity with Generative AI tools such as ChatGPT, Microsoft Copilot, Gemini, or similar LLM-based applications is required.
- If you have experience with Tableau, Power BI, Python, analytics projects, or AI/ML coursework, highlight it clearly in your resume.
- The apprenticeship duration is 6 months.
- The job is listed as Hybrid. Check the official application page for the latest work arrangement and location details.
- The application deadline provided in the job details is 27 August 2026.
- Salary or stipend information is not disclosed in the provided job details.
- Job requirements, hiring timelines, and other details may change. Always verify the latest information on the official American Express careers page before applying.
- TechJobsAlert does not charge any fee for job updates or applications. Never pay anyone in exchange for a job opportunity.
- TechJobsAlert shares this opportunity for informational purposes only and is not involved in American Express's recruitment or selection process.