American Express Analyst Data Science Recruitment 2026

American Express Analyst Data Science Recruitment 2026 | Apply Online

Introduction

American Express has announced the Analyst – Data Science Recruitment 2026 for its Gurugram office. This is an excellent opportunity for graduates and early-career professionals who want to build a career in data science, analytics, and financial services. Candidates searching for Data Science Jobs, AI Jobs, Python Jobs, SQL Jobs, IT Jobs, Graduate Jobs, and Banking Jobs should consider applying.

As an Analyst in the Customer Growth Marketing Analytics team, you will work on strategic data analysis, customer value frameworks, marketing optimisation, and business insights. You’ll collaborate with finance, marketing, and analytics teams to improve customer acquisition strategies and support data-driven decision-making using modern analytical tools and technologies.

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Quick Recruitment Snapshot

About the Role

As an Analyst – Data Science, you will join the Customer Growth Marketing Analytics team and work on improving customer acquisition strategies through advanced analytics and data-driven decision-making. The role involves building analytical frameworks, optimising marketing investments, and collaborating with finance and marketing teams to generate meaningful business insights.

You will use modern data science tools and statistical techniques to analyse customer behaviour, evaluate campaign performance, and support strategic business decisions. This position offers valuable exposure to large-scale analytics projects within a global financial services organisation.

Key Responsibilities

• Perform strategic analysis to support marketing and customer growth initiatives.
• Develop frameworks for customer targeting and investment optimisation.
• Collaborate with finance teams to improve customer value models.
• Analyse customer behaviour and identify opportunities for business growth.
• Build insights using Python, SQL, Hive, and PySpark.
• Present analytical findings and recommendations to stakeholders.
• Partner with cross-functional teams to improve marketing ROI.
• Manage multiple analytics projects and support continuous process improvement.

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Qualification Requirements

• Master’s degree (preferred) in Statistics, Engineering, Physics, Mathematics, Economics, Business, or another quantitative field.
• Strong analytical and problem-solving skills.
• Experience with Python, SQL, Hive, and PySpark.
• Knowledge of statistical modelling and data mining techniques.
• Proficiency in Microsoft Excel and PowerPoint.
• Excellent verbal and written communication skills.
• Ability to collaborate across cross-functional teams and manage multiple projects.

Before applying, ensure your resume highlights your analytics projects, technical skills, certifications, internships, and relevant work experience. Read these Resume Tips for Freshers: What to Include and Avoid to strengthen your application.

Skills to Highlight in Your Resume

• Python
• SQL
• Hive
• PySpark
• Statistical Modelling
• Data Mining
• Microsoft Excel
• PowerPoint
• Data Visualisation
• Business Analytics

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Why Consider This Opportunity?

American Express offers the opportunity to work with global teams on large-scale marketing analytics initiatives that directly influence customer acquisition and business strategy. You’ll gain hands-on experience with advanced analytics, big data technologies, and cross-functional collaboration while contributing to impactful business decisions in a hybrid work environment.

If you’re planning to build your career with leading multinational technology and financial services companies, explore the Highest Paying IT Companies in India for Freshers for additional career opportunities.

How to Apply

1. Visit the official American Express Careers website.
2. Open the Analyst – Data Science job posting.
3. Sign in or create your career profile.
4. Complete the online application form.
5. Upload your updated resume.
6. Review all entered details carefully.
7. Submit your application through the official careers portal.

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Frequently Asked Questions (FAQs)

1. Who can apply for the American Express Analyst – Data Science role?
Candidates with relevant quantitative qualifications who meet the official eligibility criteria can apply. A Master’s degree in Statistics, Engineering, Mathematics, Economics, Business, or a related quantitative field is preferred according to the official job posting.

2. Is this opportunity suitable for freshers?
The official job description does not specifically mention freshers. Applicants should carefully review the eligibility requirements and apply if they possess the required analytical skills and qualifications.

3. What technical skills are preferred?
Skills in Python, SQL, Hive, PySpark, statistical modelling, data mining, Microsoft Excel, PowerPoint, and business analytics are highly preferred.

4. What is the job location and work model?
According to the official job posting, the role is based in Gurugram, Haryana and follows a hybrid work model.

5. What salary does American Express offer?
The official job posting does not disclose the salary for this position. Compensation will be offered according to American Express policies. To better understand salary terminology, read this guide on CTC vs In-Hand Salary Guide for Freshers.

Conclusion

The American Express Analyst Data Science Recruitment 2026 offers an excellent opportunity to work on advanced analytics, customer insights, and marketing optimisation within a globally recognised financial services company. If you meet the eligibility requirements, submit your application through the official American Express Careers portal as soon as possible.