Fresh graduates and early-career professionals looking to build a career in analytics and data science now have a great opportunity with American Express. The company has officially announced its Analyst-Data Analytics hiring drive for 2026 in Gurugram. This opportunity is ideal for candidates with strong analytical thinking, programming knowledge, and interest in AI, machine learning, and business analytics.
The latest American Express recruitment 2026 notification is attracting attention among freshers and professionals with up to 2 years of experience. Candidates from Computer Science, Engineering, Statistics, Mathematics, Physics, and related backgrounds are eligible to apply for this off campus drive. The role offers exposure to advanced analytics, AI-powered business solutions, and customer engagement strategies within a globally recognized organization.
American Express Recruitment 2026
| Particulars | Details |
|---|---|
| Company Name | American Express |
| Job Role | Analyst-Data Analytics |
| Qualification | Bachelor’s or Master’s Degree |
| Eligible Streams | Computer Science, Engineering, Statistics, Mathematics, Physics, Related Fields |
| Experience Required | 0-2 Years |
| Job Location | Gurugram, Haryana |
| Work Model | Hybrid |
| Salary | Best in Industry |
| Job Type | Full Time |
| Last Date to Apply | 21 May 2026 |
| Recruitment Type | Off Campus Drive 2026 |
Job Overview
American Express is hiring candidates for the position of Analyst-Data Analytics under its Analytics, Investment and Marketing Enablement (AIM) team. The role is based in Gurugram with a hybrid working model.
The AIM team acts as the analytical engine for the Global Commercial Card business and supports growth strategies through data analytics, AI-powered targeting, personalization capabilities, and customer engagement solutions.
Selected candidates will work closely with marketing, risk, sales, and decision science teams to create analytical models, generate business insights, and improve customer retention strategies. This role provides an excellent opportunity for freshers to gain hands-on experience in AI, machine learning, big data technologies, and commercial analytics.
Key Responsibilities
Candidates selected for the American Express Analyst-Data Analytics role will work on multiple business-critical projects related to customer retention, analytics, and AI-powered insights. Some of the major responsibilities include:
- Developing and improving AI model precursors in collaboration with decision science teams.
- Working with marketing, sales, and risk management teams to create customized customer engagement strategies.
- Supporting digital, field, and phone-based programs through data reporting and analytics.
- Building analytical solutions such as prioritization tiers and trigger-based systems to improve sales effectiveness.
- Identifying business opportunities using data insights and helping improve revenue growth.
- Driving automation and continuously improving analytical frameworks.
- Collaborating with business leaders and stakeholders to create impactful business strategies.
- Generating actionable insights through machine learning and statistical analysis techniques.
The role requires candidates who are proactive, detail-oriented, and capable of solving complex business problems using data-driven approaches.
Skills Required
To succeed in this American Express freshers hiring opportunity, candidates should have strong technical and analytical skills. The company is looking for individuals who can work effectively in a fast-paced and collaborative environment.
Technical Skills
- Strong programming knowledge in Python, Scala, PySpark, Hive, or Big Data technologies
- Understanding of machine learning and statistical modeling concepts
- Knowledge of AI and GenAI technologies
- Familiarity with statistical techniques such as:
- Hypothesis Testing
- Regression Analysis
- KNN
- T-Test
- Chi-Square Test
- Ability to build analytical data products and business solutions
Soft Skills
- Excellent communication and interpersonal abilities
- Strong problem-solving mindset
- Ability to collaborate with cross-functional teams
- Good presentation and stakeholder management skills
- High level of accountability and organizational skills
Freshers with internship experience in analytics, machine learning, or data science projects may have an added advantage during the selection process.
Why Join American Express?
Joining American Express can be a major career boost for freshers and analytics professionals. The company provides exposure to global business operations and advanced technologies while maintaining a supportive and employee-friendly culture.
Here are some benefits of working at American Express:
- Competitive salary packages and bonus incentives
- Hybrid work flexibility
- Medical, dental, vision, and life insurance benefits
- Career development and leadership training programs
- Wellness and mental health support programs
- Paid parental leave policies
- Opportunity to work on large-scale analytics and AI projects
- Inclusive and collaborative work environment
Employees at American Express also get the opportunity to work on real business challenges that directly impact millions of customers worldwide.
Salary Details
The salary for the Analyst-Data Analytics role at American Express is expected to be competitive and aligned with industry standards. Freshers and candidates with up to 2 years of experience can expect an attractive compensation package along with performance-based incentives and additional employee benefits.
Although the exact salary has not been officially disclosed, analytics and data science roles at top multinational companies like American Express generally offer strong career growth and long-term earning potential.
Hiring Location
The job location for this American Express recruitment 2026 drive is:
- Gurugram
The role follows a hybrid working model, allowing employees to work both remotely and from the office depending on business requirements.
Eligibility Criteria
Candidates interested in applying for this off campus drive should meet the following eligibility requirements:
- Bachelor’s or Master’s degree in:
- Computer Science
- Engineering
- Statistics
- Mathematics
- Physics
- Related disciplines
- 0-2 years of relevant analytics experience
- Strong analytical and programming skills
- Good communication and collaboration abilities
Both freshers and early-career professionals are encouraged to apply.
How to Apply for American Express Recruitment 2026?
Candidates can apply for the Analyst-Data Analytics position through the official American Express careers portal.
Steps to Apply
- Visit the official American Express careers website.
- Search for the job role “Analyst-Data Analytics”.
- Read the complete job description and eligibility criteria carefully.
- Click on the Apply button.
- Fill in the required details and upload your updated resume.
- Submit the application before the deadline.
The last date to apply for this opportunity is 21 May 2026.
About American Express
American Express is one of the world’s leading financial services companies, known for its strong focus on customer experience, innovation, and technology-driven solutions. Founded more than 175 years ago, the company operates globally and serves millions of customers through its payment, travel, and financial products.
The company’s work culture focuses on innovation, collaboration, and employee growth. Employees at American Express get access to learning opportunities, leadership development programs, wellness support, and flexible work arrangements. With a strong emphasis on data-driven decision-making, the company continues to invest heavily in analytics, artificial intelligence, and digital transformation.
