American Express Recruitment 2026: Business Analyst – Data Analytics Off Campus Drive

American Express Recruitment 2026 opens an exciting opportunity for fresh graduates and early-career professionals looking to build a strong career in data analytics and business intelligence. American Express, one of the world’s most trusted financial services brands, is hiring for the role of Business Analyst – Data Analytics at its Gurugram, Haryana office. This role is suitable for candidates with 0–3 years of experience who are passionate about data, analytics, and strategic business decision-making.

With organizations increasingly relying on data-driven insights, this position offers hands-on exposure to advanced analytics, portfolio segmentation, and performance measurement. Candidates searching for an off campus drive 2026, freshers hiring, or a data analytics role in a global company should closely review this opportunity.

American Express Recruitment 2026

CategoryDetails
Company NameAmerican Express
Job RoleBusiness Analyst – Data Analytics
Job ID25023363
Experience0–3 Years
QualificationBachelor’s / Master’s Degree (Quantitative Discipline)
LocationGurugram, Haryana
Work ModeHybrid
SalaryExpected ₹6–8 LPA

Job Overview

The Business Analyst – Data Analytics role is part of the Global Commercial Services (GCS) division at American Express. Within GCS, the Product Analytics team plays a critical role in generating deep insights into customer behavior, product usage, and financial performance.

This position focuses on Corporate Card Analytics, supporting business growth through advanced statistical analysis, experimentation, and strategic insights. The role requires close collaboration with product, marketing, credit risk, and finance teams to translate data into actionable business strategies.

The position follows a hybrid work model, offering flexibility based on business needs.

Key Responsibilities

As a Business Analyst – Data Analytics at American Express, selected candidates will work on high-impact analytical initiatives. Key responsibilities include:

  • Creating behavior-based and financial portfolio segmentation models
  • Developing segment-based strategies in collaboration with marketing and risk teams
  • Designing and executing tests, analyzing results, and applying learnings continuously
  • Monitoring key performance indicators (KPIs) and promoting data-driven decision-making
  • Partnering with cross-functional teams to understand products, processes, and competition
  • Applying advanced analytics to identify growth opportunities and emerging risks
  • Analyzing customer behavior and process experiences to improve engagement
  • Leading the creation of data dictionaries, metric definitions, and analytics best practices

This role provides a strong foundation in applied analytics and strategic thinking within a real-world business environment.

Skills Required

Candidates applying for American Express Business Analyst Recruitment 2026 should meet the following requirements:

Educational Qualification

  • Bachelor’s or Master’s degree in Statistics, Economics, Mathematics, Engineering, Finance, Computer Science, or a related quantitative field

Experience

  • 0–3 years of relevant experience in data analytics, business intelligence, or similar roles

Technical Skills

  • Strong ability to analyze large and complex datasets
  • Proficiency in tools such as SQL, Python, Hive, or similar analytics platforms
  • Understanding of statistical techniques and analytical modeling

Additional Skills

  • Knowledge of charge card or credit card economics
  • Strong business acumen with the ability to influence outcomes
  • Excellent verbal and written communication skills
  • Ability to explain complex data insights to non-technical stakeholders
  • Curiosity and interest in the payments and benefits landscape

Why Join American Express?

American Express is known for offering a workplace that prioritizes employee growth, well-being, and flexibility. Benefits of joining include:

  • Competitive base salary with bonus incentives
  • Comprehensive medical, dental, vision, life, and disability insurance
  • Strong focus on financial well-being and retirement planning
  • Flexible working options including hybrid arrangements
  • Generous paid parental leave policies
  • Access to wellness centers and mental health support programs
  • Continuous learning, training, and career development opportunities
  • Inclusive and diverse work environment

For candidates looking for American Express recruitment 2026, this role provides long-term career growth and exposure to global business challenges.

Salary Details

The salary for the Business Analyst – Data Analytics role is as per American Express standards and aligned with industry benchmarks. In addition to base pay, employees may be eligible for bonuses, insurance benefits, wellness programs, and professional development support.

Hiring Location

  • Gurugram, Haryana, India

Candidates should be comfortable working in a hybrid setup based on project and business requirements.

How to Apply

Interested candidates can apply through the official American Express Careers portal by searching for Job ID: 25023363. Applicants should ensure:

  • Their resume highlights analytics, SQL, and Python skills
  • Educational qualifications meet the role requirements
  • Applications are submitted only through official channels

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About the Company

American Express is a global leader in financial services with a history spanning over 175 years. Known for its innovation, customer-centric approach, and strong ethical values, the company serves millions of customers across the world through its card services, payment solutions, and business products.

American Express fosters a culture where employees are supported holistically—professionally, personally, and financially. The organization promotes continuous learning, leadership development, and inclusive growth. American Express Recruitment 2026 reflects the company’s commitment to hiring analytical talent that can help shape the future of digital payments and commercial financial services.

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