American Express Recruitment 2026 has announced an opportunity for the role of Analyst – Data Analytics in Gurugram. This role is suitable for early-career professionals with 0–2 years of relevant analytics experience and a Bachelor's or Master's degree in a relevant quantitative or technical discipline.
This opportunity is ideal for candidates interested in data analytics, data science, machine learning, AI, SQL, Python, and business analytics. The selected candidate will work with analytics teams supporting business growth, customer engagement, retention, and marketing strategies.
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| American Express Hiring Analyst Data Analytics Job Gurugram Hybrid |
Job Overview
Company: American Express
Job Role: Analyst – Data Analytics
Job Category: Data Management and Analytics
Experience: 0–2 Years
Qualification: Bachelor's / Master's Degree
Location: Gurugram, Haryana
Work Mode: Hybrid
Job Type: Full-Time
Job Shift: Day Shift
Shift Timing: 1:00 PM – 9:30 PM IST
Expected Salary: ₹5–7 LPA
Job ID: 26013323
About Company
American Express is a global financial services company known for its payment cards, financial products, and digital payment solutions. The company operates across multiple markets and provides services to consumers, small businesses, and large organizations.
This role is part of the Analytics, Investment and Marketing Enablement (AIM) team within the Global Commercial Services Marketing organization. The team uses data, analytics, AI-powered targeting, and personalization capabilities to support business growth and customer engagement.
About Role
As an Analyst – Data Analytics, you will work with business, marketing, risk, sales, and analytics teams to identify insights from data and support data-driven decision-making.
The role involves analyzing customer and commercial data, supporting analytical models, developing insights, improving analytical frameworks, and helping teams prioritize business opportunities.
You may also work with technologies such as SQL, Python, PySpark, Hive, Scala, Big Data platforms, AI, and machine learning techniques.
Is your resume ATS-friendly?
🚀 Build ATS Resume NowKey Responsibilities
- Develop and enhance analytical and AI-based models.
- Work with Decision Science teams on analytical solutions.
- Support marketing, risk, and sales teams with data-driven insights.
- Analyze digital, field, and phone-based programs.
- Identify opportunities related to customer engagement and retention.
- Build actionable analytical solutions for business teams.
- Support prioritization frameworks and analytical triggers.
- Partner with business leaders and stakeholders to identify growth opportunities.
- Define success metrics and measure business impact.
- Support automation and improvement of analytical frameworks.
- Apply statistical and machine learning techniques to business problems.
- Communicate insights and recommendations to stakeholders.
Eligibility Criteria
- 0–2 years of relevant experience in analytics or related fields.
- Bachelor's or Master's degree in a relevant discipline.
- Educational backgrounds may include Computer Science, Engineering, Statistics, Mathematics, Physics, or related fields.
- Strong analytical and problem-solving abilities.
- Good programming and data analysis knowledge.
- Ability to communicate analytical findings clearly.
- Ability to work independently and collaborate with multiple teams.
Required Skills
- Data Analytics
- SQL
- Python
- Big Data
- PySpark
- Hive
- Scala
- Data Modeling
- Machine Learning
- Statistical Analysis
- Problem Solving
- Business Analytics
- Communication Skills
Is your resume ATS-friendly?
🚀 Build ATS Resume NowPreferred Skills
- Generative AI technologies.
- Hypothesis Testing.
- Regression Analysis.
- K-Nearest Neighbors (KNN).
- T-Test.
- Chi-Square Test.
- Statistical Modeling.
- Data Science.
- Commercial Data Analysis.
- Automation of analytical processes.
- Experience building analytical data products.
- Ability to generate actionable business insights.
Why Join American Express?
- Opportunity to work with a global financial services organization.
- Exposure to real-world data analytics and business problems.
- Work with AI, machine learning, and advanced analytics technologies.
- Opportunity to collaborate with marketing, risk, sales, and technology teams.
- Gain experience in customer analytics and business decision-making.
- Hybrid work opportunity.
- Strong learning exposure for early-career analytics professionals.
Job Location
Gurugram, Haryana, India
Work Mode: Hybrid
Office Location:
AMEX Sub Tehsil Kadipur, Gurugram, Haryana – 122004
Expected Salary
The expected salary for this role is approximately:
₹5–7 LPA
The actual salary package may vary depending on the candidate's skills, experience, qualifications, location, and company compensation policies.
Selection Process
The selection process may include the following rounds:
1. Application Screening
The recruitment team reviews the candidate's educational background, technical skills, and relevant experience.
2. Online Assessment
Candidates may be evaluated on analytical ability, programming, SQL, statistics, or problem-solving skills.
3. Technical Interview
Questions may focus on:
- SQL queries
- Python programming
- Data analysis
- Statistics
- Machine learning concepts
- Business problem-solving
4. Managerial Interview
Candidates may be evaluated on communication skills, analytical thinking, stakeholder management, and business understanding.
5. HR Discussion
The final discussion may include job expectations, work location, shift timing, and other employment-related details.
Note: The exact selection process may vary depending on the hiring team's requirements.
How to Apply
Interested and eligible candidates can apply through the official American Express careers portal.
Official Apply Link: Apply for American Express Analyst Data Analytics Job
Is your resume ATS-friendly?
🚀 Build ATS Resume NowImportant Note While Applying
- This role requires 0–2 years of relevant analytics experience, according to the job description.
- Candidates should carefully review the required technical skills before applying.
- The position is located in Gurugram and follows a hybrid work model.
- The listed shift timing is 1:00 PM to 9:30 PM IST.
- The salary mentioned in this post is an expected estimate and not an officially confirmed figure.
- Ensure your resume includes accurate educational details, technical skills, projects, internships and certifications.
- FreshHire Daily only shares job opportunities from company career portals or trusted recruitment sources. We do not charge any fee for job applications or recruitment.
- Apply only through the official American Express careers portal.
- Never pay money to anyone for job applications, interviews, or recruitment.
- Do not share sensitive personal or financial information with unverified recruiters.
Basic Interview Questions
- Tell me about yourself.
- What is the difference between SQL and NoSQL databases?
- What is hypothesis testing?
- Explain the difference between correlation and regression.
- What is the purpose of a t-test?
- What is a chi-square test?
- Explain KNN in machine learning.
- How have you used Python for data analysis?
- What is PySpark and why is it used?
- How would you approach a business problem using data analytics?
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Disclaimer
This job information is shared for educational and informational purposes only. We are not recruiters or affiliated with American Express. Candidates should independently verify all job details, eligibility criteria, salary information, location, work mode, and recruitment process before applying. Always apply through the official company careers website.
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