American Express Data Analytics Jobs 2026 are now available for talented freshers and early-career professionals with expertise in data-driven decision-making and statistical methodologies. American Express, built on a 175-year history of innovation and shared values, is seeking an Analyst-Data Analytics for their Gurugram office to work on consumer card marketing initiatives and leverage analytics to achieve business goals. This exciting opportunity offers comprehensive benefits, flexible hybrid work arrangements, and the chance to collaborate with Product, Marketing, Finance, and other strategic partners in a dynamic Team Amex environment.
Job Details
About The Company
American Express is a globally integrated payments company providing customers with access to products, insights, and experiences that enrich lives and build business success. With a 175-year history of innovation, the company is built on shared values and Leadership Behaviors, demonstrating an unwavering commitment to backing customers, communities, and colleagues. As part of Team Amex, employees experience powerful backing with comprehensive support for holistic well-being and numerous opportunities to learn new skills, develop as leaders, and grow their careers. The company fosters a culture where voices and ideas matter, work makes an impact, and together team members define the future of American Express.
Eligibility Criteria
Education:
- Degree in Business, Economics, Statistics, Mathematics, Engineering, or Finance combined with a Master’s or other secondary professional qualification
- Advanced degree in a quantitative field (Finance, Engineering, Mathematics, Computer Science) preferred
Experience:
- 0-1 years of relevant analytics experience
- Freshers with strong academic background and internship experience are encouraged to apply
Functional Skills:
- Strong analytical and problem-solving skills
- Strong ability to drive results; self-starter mindset
- Strong interpersonal, written, and verbal communication skills
- Ability to work in a dynamic, cross-functional environment with strong attention to detail
- Strong analytical/conceptual thinking competence to solve unstructured and complex business problems
Technical Skills/Capabilities:
- Experience in programming languages like Hive, SQL, SAS, Python, etc.
- Proficient in MS Office (Excel, PowerPoint, Word)
- Some experience with Big Data programming languages (Hive, Spark), Python, SQL preferred
- Experience in large data processing and handling; understanding of data science is a plus
- Basic knowledge of statistical techniques for experimentation & hypothesis testing, regression, t-test, chi-square test
Roles & Responsibilities
As an Analyst-Data Analytics at American Express, you will play a crucial role in consumer card marketing analytics. Your key responsibilities include:
- Create actionable, data-driven strategies for business growth by leveraging analytics to achieve business goals in the consumer card marketing domain
- Collaborate closely with Product, Marketing, Finance, and other strategic partners to deliver insights that drive decision-making
- Apply expertise in data-driven decision-making, statistical methodologies, and strategic analytics to solve complex business challenges
- Mine digital activity data along with American Express closed-loop data to power in-depth strategic analysis
- Provide analytical and decision support by analyzing extensive datasets to derive business insights
- Gain deep functional understanding of enterprise-wide product capabilities and associated platforms over time
- Ensure analytical insights are relevant, actionable, and clearly articulated to senior leaders and stakeholders
- Develop innovative solutions leveraging American Express’s unique closed-loop network capabilities
- Utilize strong quantitative and problem-solving skills to address unstructured business problems
Selection Process
The American Express recruitment process for Analyst-Data Analytics positions involves multiple comprehensive stages:
- Online Application: Submit your application through the American Express careers portal at https://aexp.eightfold.ai/careers
- Resume Screening: Initial screening by hiring managers to assess alignment with job requirements, educational qualifications, and relevant experience
- Online Assessment: Comprehensive assessment evaluating aptitude, logical reasoning, quantitative skills, and technical proficiency in SQL, Python, or statistical tools
- Technical Interview 1: In-depth evaluation of programming skills (SQL, Python, Hive), data structures, algorithms, statistical knowledge, and analytical problem-solving abilities
- Technical Interview 2: Advanced technical round focusing on case studies, business problem-solving scenarios, data analytics projects, and domain knowledge
- HR Round: Discussion about career goals, cultural fit assessment, understanding of American Express values and Leadership Behaviors, compensation discussion, and joining formalities
- Background Verification: Offer of employment is conditioned upon successful completion of background verification check, subject to applicable laws
How to Apply For
Interested candidates can apply online through the official American Express careers portal. Follow these steps:
- Visit the official American Express Job Portal: Click Here To Apply
- Create an account or log in with your existing credentials on the Eightfold AI platform
- Click on “Apply Now” button on the job details page
- Fill in the online application form with accurate personal details, educational qualifications, and work experience
- Upload your updated resume in PDF or Word format highlighting relevant analytics experience, technical skills, and projects
- Provide information about your academic background in quantitative fields and programming proficiency
- Answer job-specific screening questions related to data analytics experience, statistical knowledge, and career aspirations
- Submit relevant certifications in Python, SQL, SAS, or data analytics if available
- Review all information carefully before submitting the application
- You will receive a confirmation email with application status and next steps
Preparation Tips
To maximize your chances of success in securing this American Express Analyst-Data Analytics position:
- Master Programming Languages: Strengthen proficiency in SQL, Python, Hive, SAS, and Spark through hands-on practice and projects
- Statistical Foundation: Build strong knowledge of statistical techniques including regression analysis, hypothesis testing, t-tests, chi-square tests, and A/B testing
- Data Analytics Projects: Develop portfolio showcasing data analysis projects using real datasets, demonstrating problem-solving and visualization skills
- Business Acumen: Understand consumer card marketing, financial services industry, payments ecosystem, and customer analytics
- Big Data Tools: Gain familiarity with big data processing tools, Hadoop ecosystem, data warehousing concepts, and cloud platforms
- Case Study Practice: Prepare for business case studies focusing on marketing analytics, customer segmentation, and strategic decision-making
- Communication Skills: Practice articulating complex analytical findings in simple, business-friendly language for stakeholder presentations
- American Express Research: Study American Express’s business model, products, values, Leadership Behaviors, and recent innovations in fintech
- Mock Interviews: Practice technical and behavioral interview questions, especially those related to STAR (Situation, Task, Action, Result) format
- MS Office Proficiency: Ensure strong Excel skills including pivot tables, VLOOKUP, data visualization, and PowerPoint presentation abilities
Important Dates
| Application Start Date | 05 January 2026 |
| Last Date to Apply | As soon as possible |
| Exam/Interview Date | Shortlisted candidates will get email |
Don’t miss this opportunity, American Express Data Analytics Jobs 2026 Apply today!
