American Express Recruitment 2026
American Express
Experience0–11 Months
QualificationB.Sc/BBA/BBM
Key Responsibilities
- Develop an understanding of the American Express business and Amex Offers platform.
- Learn about the merchant ecosystem, products, and Card Member journey.
- Analyze business, merchant, offer, and customer data.
- Identify trends, risks, opportunities, and actionable insights.
- Support Amex Offers and Digital Media Analytics initiatives.
- Monitor performance and support problem-solving activities.
- Support targeting and process improvement initiatives.
- Prepare reports, dashboards, presentations, and structured recommendations.
- Use AI tools such as ChatGPT and Microsoft Copilot to improve research, analysis, productivity, and content creation.
- Collaborate with cross-functional teams on analytics and business initiatives.
- Communicate insights and recommendations clearly.
- Develop proficiency in data tools and analytical techniques.
Skills & Eligibility
- Apprentice – Data Analytics:
- Graduate in Data Analytics, Business Analytics, Statistics, Economics, Marketing, Management, or a similar discipline.
- 0–11 months of internship, academic project, or work experience.
- Expertise in 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.
- Academic projects, certifications, or coursework in analytics, AI, data science, business analysis, statistics, mathematics, economics, engineering, or related fields.
- Exposure to dashboards and visualization tools such as Tableau or Power BI.
- Interest in merchant marketing, customer analytics, digital media, offer performance, or risk management.
- Exposure to Python.
- Exposure to advanced AI/ML techniques.
- 💡 Pro Tip: New to SQL? We recommend The Complete SQL Bootcamp to strengthen your SQL, data analysis, and database fundamentals before your interview.
- Graduate in Data Analytics, Business Analytics, Statistics, Economics, Marketing, Management, or a similar discipline.
- 0–11 months of internship, academic project, or work experience.
- Expertise in 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.
- Academic projects, certifications, or coursework in analytics, AI, data science, business analysis, statistics, mathematics, economics, engineering, or related fields.
- Exposure to dashboards and visualization tools such as Tableau or Power BI.
- Interest in merchant marketing, customer analytics, digital media, offer performance, or risk management.
- Exposure to Python.
- Exposure to advanced AI/ML techniques.
- 💡 Pro Tip: New to SQL? We recommend The Complete SQL Bootcamp to strengthen your SQL, data analysis, and database fundamentals before your interview.
Note: This job is posted on external sites. Joblit shares the listing for convenience and does not take responsibility for third-party content.
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