American Express Analyst Hiring 2026 | 0–2 Years Experience | Gurgaon | Analytics, Python, SQL, Power BI

 

Job Description:

American Express is hiring Analysts for its AIM (Analytics, Investment & Marketing Enablement) team in Gurgaon. Candidates with 0–2 years of experience and skills in Python, SQL, Tableau, Power BI, Statistics, and Marketing Analytics can apply.

American Express is hiring Analysts for its AIM (Analytics, Investment & Marketing Enablement) team under Global Commercial Services (GCS) Marketing. This is an excellent opportunity for fresh graduates and early-career professionals who are passionate about analytics, data science, business intelligence, marketing analytics, and data-driven decision-making.

Selected candidates will work with large-scale business data, campaign measurement analytics, ROI analysis, stakeholder reporting, and business growth initiatives while collaborating with global teams.

About American Express

American Express (Amex) is one of the world's leading financial services companies, serving millions of customers globally through innovative payment solutions, credit services, and business products. With more than 175 years of innovation, American Express continues to lead the financial industry through technology, analytics, risk management, and customer-centric solutions.

The company offers employees exceptional career growth opportunities, global exposure, industry-leading training programs, and a collaborative work culture focused on innovation and excellence.

Job Details

Position: Analyst

Company: American Express

Department: Analytics, Investment & Marketing Enablement (AIM)

Experience: 0–2 Years

Location: Gurgaon, Haryana

Work Model: Hybrid

Job Type: Full-Time

Job ID: 26009704

Application Deadline: 26 June 2026

Career Area: Analytics & Risk Management

Role Overview

The Analyst will support acquisition campaign measurement and marketing analytics initiatives across various business channels and product portfolios. The role involves analyzing large datasets, measuring campaign effectiveness, generating business insights, and helping leadership make data-driven decisions.

Key Responsibilities

• Perform campaign measurement and ROI analysis

• Generate actionable insights from marketing and customer data

• Develop analytical solutions for business stakeholders

• Prepare monthly performance reports for leadership teams

• Analyze data from multiple sources and create visual dashboards

• Support business growth through data-driven recommendations

• Collaborate with marketing, sales, and analytics teams

• Ensure timely and accurate reporting

• Drive pilot projects and innovation initiatives

• Present findings to stakeholders and senior leadership

Eligibility Criteria

• Bachelor's or Master's Degree in a quantitative field

• B.Tech, B.Sc, M.Sc Statistics, Economics, Mathematics, Data Science, or related disciplines

• Strong analytical and problem-solving skills

• Excellent communication and presentation abilities

• Ability to work independently with high ownership

• Comfortable working with global stakeholders

Required Skills

• Python

• SQL

• Hive

• PySpark

• Tableau

• Power BI

• Advanced Excel

• Data Analysis

• Data Visualization

• Statistical Analysis

• Business Analytics

• Project Management

Preferred Skills

• R Programming

• Marketing Analytics

• Campaign Measurement

• Customer Analytics

• Data Mining

• Machine Learning Fundamentals

• Dashboard Development

Statistics Concepts Preferred

• Hypothesis Testing

• Regression Analysis

• KNN

• T-Test

• Chi-Square Test

• Statistical Modeling

Why Join American Express?

• Work with one of the world's most respected financial brands

• Gain exposure to large-scale business analytics projects

• Collaborate with global teams and stakeholders

• Hybrid work flexibility

• Competitive compensation and bonus programs

• Career growth and leadership development opportunities

• Comprehensive healthcare benefits

• Learning and certification programs

• Global networking opportunities

• Employee wellness and mental health support

Selection Process

The recruitment process may include:

• Online Application

• Resume Screening

• Online Assessment

• Technical Interview

• Analytics Case Study Round

• Managerial Interview

• HR Discussion

• Background Verification

• Final Offer

Interview Preparation Topics

• SQL Queries and Joins

• Python for Data Analysis

• Statistics and Probability

• Hypothesis Testing

• Data Visualization

• Power BI

• Tableau

• Marketing Analytics

• Business Case Studies

• Problem Solving

• Excel Functions and Dashboards

Employee Benefits

• Competitive Salary

• Performance Bonus

• Medical Insurance

• Dental and Vision Benefits

• Retirement Support Programs

• Paid Parental Leave

• Wellness Programs

• Career Development Opportunities

• Learning Resources

• Flexible Working Arrangements

How to Apply

Interested candidates should apply through the below link : Apply here

Application Deadline: 26 June 2026

Conclusion

The American Express Analyst role is an excellent opportunity for graduates and professionals with up to two years of experience who want to build a career in analytics, business intelligence, marketing analytics, and data science. Candidates with strong Python, SQL, statistical analysis, and visualization skills should consider applying for this high-growth opportunity at one of the world's leading financial services organizations.

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Disclaimer

Software Jobs Daily shares job opportunities from official company sources. We are not involved in the hiring process. Candidates are advised to verify all details through the official company website before applying.