American Express is hiring candidates for the Analyst – Data Analytics position in Gurugram, Haryana. This is a full-time opportunity for candidates with 0–2 years of relevant analytics experience and a Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, Mathematics, Physics, or a related discipline.
The role is part of the Analytics, Investment and Marketing Enablement (AIM) team within Global Commercial Services (GCS) Marketing. The selected candidate will work on data analytics, AI-powered targeting, machine learning, customer retention, and analytical solutions that support business growth.
American Express Recruitment 2026
| Particulars | Details |
|---|---|
| Company | American Express |
| Job Role | Analyst – Data Analytics |
| Job ID | 26013323 |
| Experience | 0–2 Years |
| Qualification | Bachelor’s / Master’s Degree |
| Eligible Fields | CS, Engineering, Statistics, Mathematics, Physics or related |
| Location | Gurugram, Haryana |
| Work Mode | Hybrid |
| Employment Type | Full Time |
| Shift Timing | 1:00 PM – 9:30 PM IST |
| Salary | Not Disclosed |
| Apply Before | September 8, 2026 |
About American Express
American Express is a global financial services company known for its payment products, services, and customer experience. The company operates across multiple markets and focuses on technology, analytics, risk management, and innovation.
The Analyst – Data Analytics position is part of the AIM team, which uses data, analytics, AI-powered targeting, and personalization capabilities to support the Global Commercial Card business.
Key Responsibilities
The selected candidate will be responsible for:
- Developing and enhancing analytical precursors for AI models.
- Working with Decision Science teams on customized customer treatments.
- Supporting Marketing and Measurement teams with analytics for digital, field, and phone programs.
- Providing actionable insights and analytical solutions to business teams.
- Developing triggers and prioritization tiers for sales teams.
- Identifying opportunities to improve customer engagement and revenue growth.
- Working with business and senior leadership stakeholders.
- Defining success metrics and driving analytical initiatives.
- Automating and continuously improving analytical frameworks.
- Identifying business problems and developing data-driven solutions.
- Communicating analytical findings effectively to business stakeholders.
Eligibility Criteria
Candidates should meet the following requirements:
- 0–2 years of relevant experience in analytics.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, Mathematics, Physics, or a related discipline.
- Strong programming skills.
- Experience building analytical models and data products.
- Knowledge of technologies such as:
- GenAI
- SQL
- Big Data
- PySpark
- Hive
- Scala
- Python
- Knowledge of statistical and machine learning techniques.
- Ability to apply analytics and machine learning to business problems.
- Strong communication and interpersonal skills.
- Ability to work with business leaders and cross-functional teams.
Preferred Skills
Candidates with knowledge of the following areas may have an advantage:
- Hypothesis testing
- Regression
- KNN
- T-test
- Chi-square test
- Statistical modeling
- Machine learning
- Commercial data analytics
- Data-driven business insights
- Working across matrix organizations
Technical Skills Required
This position requires a strong analytical and programming foundation. Candidates should be comfortable working with Python, SQL, PySpark, Big Data technologies, and machine learning techniques.
Understanding statistical methods such as regression, hypothesis testing, KNN, t-test, and chi-square testing can also be useful for this role.
Knowledge of GenAI and analytical data products is specifically mentioned among the required technologies.
Work Location and Shift Timing
The position is based at American Express’s Gurugram location and follows a hybrid work model.
The specified shift timing for the role is:
1:00 PM to 9:30 PM IST
Candidates should consider the shift timing before applying.
Salary Details
American Express has not disclosed the salary for the Analyst – Data Analytics position in the provided job listing.
Compensation may depend on the candidate’s qualifications, experience, skills, and applicable company policies.
Application Deadline
The job listing states that applications should be submitted before:
September 8, 2026
Candidates are advised to apply as early as possible rather than waiting until the deadline.
How to Apply for American Express Recruitment 2026
Apply Link : Click Here
Interested and eligible candidates can apply online through the American Express Careers portal.
Applicants should prepare an updated resume highlighting their educational qualifications, analytics experience, programming skills, machine learning knowledge, statistical techniques, and relevant projects.
Candidates should particularly highlight experience with Python, SQL, PySpark, GenAI, Big Data, and machine learning if applicable.
Final Summary
American Express Analyst – Data Analytics Recruitment 2026 is an opportunity for candidates with 0–2 years of analytics experience who have a strong background in programming, statistics, data science, and machine learning.
The role provides exposure to AI-powered analytics, customer retention, marketing analytics, machine learning models, and data-driven business solutions. Candidates with knowledge of Python, SQL, PySpark, Big Data, GenAI, and statistical techniques can consider applying for this opportunity in Gurugram.
Eligible candidates should submit their applications before September 8, 2026 through the official American Express Careers portal.
