American Express Off Campus Jobs | Analyst – Data Analytics | Gurugram : American Express is hiring for an Analyst – Data Analytics position in Gurugram, Haryana. This is a full-time hybrid opportunity within the company’s Analytics & Risk Management career area.
The role is part of the AIM (Analytics, Investment & Marketing Enablement) team under Global Commercial Services (GCS) Marketing. The team uses data, analytics, machine learning and emerging AI technologies to generate actionable insights that support business growth, profitability and customer acquisition.
American Express Analyst – Data Analytics: Job Overview
| Job Details | Information |
|---|---|
| Company | American Express |
| Job Role | Analyst – Data Analytics |
| Job Identification | 26014019 |
| Career Area | Analytics & Risk Management |
| Job Category | Data Management and Analytics |
| Job Type | Full-time |
| Location | Gurugram, Haryana, India |
| Work Model | Hybrid |
| Job Shift | Day |
| Degree Required | Bachelor’s Degree / Master’s / PhD as specified |
| Application Deadline | September 29, 2026 |
| Primary Skills | Python, SQL, Machine Learning, Statistics |
| Preferred AI Skills | LLM, RAG, Generative AI |
About the Role
The AIM team acts as an analytical engine for the Global Commercial Services business at American Express. Its work focuses on generating insights that can help accelerate growth, improve profitability and strengthen the value proposition of commercial products.
As an Analyst – Data Analytics, the selected candidate will work on analytics across different channels and product offerings. The role focuses on developing innovative analytical solutions and strategies that can support gaming prevention and profitable acquisitions for the commercial business.
The position also involves designing advanced prospect marketing analytics using machine learning, statistical techniques and data science methodologies.
Check Other Freshers Jobs: Click Here
Check Other 2025 Passout Jobs: Click Here
Check Other 2026 Passout Jobs: Click Here
Key Responsibilities
The Analyst will be responsible for:
- Working collaboratively with functional channel owners, business stakeholders, end users and technology teams.
- Applying data mining techniques such as regression analysis, clustering and decision trees.
- Exploring emerging AI and Generative AI techniques for analytical and targeting use cases.
- Working on intelligent customer journey optimization, semantic modeling and automated insights.
- Developing analytical solutions that improve targeting precision and productivity.
- Identifying business opportunities and defining appropriate success metrics.
- Resolving issues and ensuring effective execution of analytical initiatives.
- Prioritizing projects and focusing efforts on high-impact opportunities.
- Managing multiple projects and collaborating across teams and geographies.
- Communicating analytical findings and insights to business stakeholders and senior leaders.
Educational Qualifications
The minimum qualification requirements include:
- Bachelor’s degree in Engineering, or
- Master’s degree in a quantitative discipline, such as:
- Statistics
- Engineering
- Physics
- Mathematics
- Economics
- A PhD in a relevant quantitative field is also accepted.
Candidates should have a strong foundation in quantitative analysis and the ability to apply statistical and machine learning techniques to real-world business problems.
Required Skills
American Express Off Campus Jobs | Analyst – Data Analytics | Gurugram | Hybrid : Candidates should demonstrate:
Data Science & Machine Learning
- Statistical analysis
- Machine learning
- Data mining
- Regression analysis
- Clustering
- Decision trees
- Business problem-solving using quantitative methods
Programming & Analytics
Preferred technical experience includes:
- Python
- SQL
- Machine learning models such as XGBoost and K-Means
- Digital analytics
- Experimentation frameworks
AI & Generative AI
The role also values familiarity with emerging AI technologies, particularly:
- Generative AI
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Semantic modeling
- Automated insights
- AI-driven customer journey optimization
Key Professional Skills
Along with technical expertise, candidates should have:
- Strong analytical and conceptual thinking.
- Excellent communication and interpersonal skills.
- Ability to explain complex analytical findings clearly and concisely.
- Strong stakeholder-management abilities.
- Project-management skills.
- Ability to manage multiple projects simultaneously.
- High ownership and accountability.
- Willingness to learn and adapt to the evolving analytics landscape.
- Ability to collaborate with teams across functions and geographies.
About the AIM Team
The Analytics, Investment & Marketing Enablement (AIM) team is part of Global Commercial Services Marketing at American Express.
The team supports business strategy by transforming data into actionable insights. Its work spans analytics, data science, marketing enablement and advanced methodologies designed to help the business make informed decisions.
For this Analyst role, data science is particularly important because the position involves quantitatively determining the value of data and insights and helping translate those insights into measurable business impact.
About American Express
American Express is a global financial services company with a long history of innovation. According to the provided job description, the company has a 175-year history and focuses on customer trust, security and service.
American Express also emphasizes employee development, learning opportunities, collaboration and flexible working arrangements. Depending on the role and location, employees may work in hybrid, onsite or virtual models.
The company lists benefits such as competitive base salaries, bonus incentives, financial and retirement support, healthcare benefits, parental leave, wellness programs, counseling support and career development opportunities, subject to location and applicable policies.
Work Location & Job Details
Location: AMEX Sub Tehsil Kadipur, Gurugram, Haryana – 122004, India
Work Model: Hybrid
Job Schedule: Full-time
Shift: Day
Career Area: Analytics & Risk Management
Job Category: Data Management and Analytics
Job ID: 26014019
Posting Date: September 21, 2026
Apply Before: September 29, 2026, 12:00 AM
Important Note for Applicants
American Express states that an offer of employment is subject to successful completion of a background verification check, in accordance with applicable laws and regulations.
The company also states that it is an equal opportunity employer and makes employment decisions without regard to legally protected characteristics.
Who Can Apply?
American Express Off Campus Jobs | Analyst – Data Analytics : This opportunity is particularly relevant for candidates with a quantitative academic background and experience or knowledge in data analytics, machine learning and statistical modeling.
Candidates should ideally have experience using tools such as Python and SQL, along with an understanding of machine learning techniques. Familiarity with LLMs, RAG and Generative AI can be beneficial for the role.
How to Apply for American Express Off Campus Jobs | Analyst – Data Analytics?
Interested and eligible candidates can apply through the official American Express portal for the Data Analyst position in Gurugram.
| American Express Apply Link | Click HERE |
| Join Telegram (Must) | Click Here |
| Join Experienced Job Telegram | Click Here |
| Follow Instagram Job Page Link: | Join Here |
Other Companies Jobs Hiring Apply Link:
- NTT DATA Off Campus Hiring: Click Here
- Cognizant Hiring Apply Link: Click Here
- ZS Associates Jobs Hiring Apply Link: Click Here
- Amazon Off Campus Internship Apply Link: Click Here
- Infosys(Edgeverve) Systems Engineer Apply Link: Click Here
- Sutherland Jobs Apply Link: Click Here
- Accenture Off Campus Hiring Apply Link: Click Here
- Recruit CRM Trainee Software Engineer Apply Link: Click Here
- Remote Jobs For Freshers Apply Link: Click Here
- Infosys Hiring: Click Here
- HCL Off Campus Hiring Apply Link: Click Here
- Google Off campus hiring 2027 Apply Link: Click Here
- Larsen & Toubro Urgent Recruitment 2026 Apply Link: Click Here
