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American Express Analyst Data Analytics 2026 is now open! American Express is hiring an Analyst – Data Analytics for its Analytics, Investment and Marketing Enablement (AIM) team in Gurugram. This is a high-impact opportunity for analytics-minded freshers to work on real business problems within the Global Commercial Services organization, building models and insights that influence billions in charge volume. If you love working with data, statistics and machine learning, this drive is a rare entry point into one of the world’s most respected financial brands.

American Express Analyst Data Analytics 2026

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Company American Express
Role Analyst – Data Analytics
Location Gurugram, Haryana (Hybrid)
Eligibility Bachelor’s / Master’s in CS, Engineering, Statistics, Maths or Physics
Batch 2024 / 2025 / 2026
Salary Competitive
Experience 0 – 2 Years
Apply Mode Online
Last Date to Apply 21 May 2026

American Express Analyst Data Analytics 2026 – Full Job Details

About American Express

American Express is a globally integrated payments company with a 175-year history of innovation, trusted by millions of customers and merchants worldwide. Its India centres are central to the company’s analytics, technology and customer service capabilities. The Analytics, Investment and Marketing Enablement (AIM) team is the analytical engine behind the Global Commercial Card business, driving profitable growth through data, analytics and AI-powered targeting. American Express is widely recognized for its strong colleague benefits, inclusive culture and deep investment in career development, making it an outstanding place for freshers to grow.

Role Overview – Analyst – Data Analytics

As an Analyst – Data Analytics, you will be a key analytical partner to the Marketing, Sales and Measurement teams, focusing on proactive retention and ‘save a card’ analytics across the SME segment. You will help design customized treatments, build triggers and prioritization tiers, and translate complex data into clear, actionable recommendations. The role blends statistical thinking, programming and storytelling, giving freshers a chance to see how analytics directly shapes business strategy at a global scale.

Key Responsibilities

  • Model Development: Develop and enhance precursors in AI models in partnership with the Decision Sciences team.
  • Cross-Functional Collaboration: Work across Marketing, Risk and Sales to help design customized customer treatments based on analytical insights.
  • Program Reporting: Be an analytical partner to Marketing and Measurement teams, reporting on digital, field and phone programs that drive growth and retention.
  • Actionable Insights: Deliver triggers, prioritization tiers and other solutions that help Field and Phone Sales teams prioritize their efforts effectively.
  • Stakeholder Partnership: Partner with functional and senior leaders to identify opportunities for better customer engagement and revenue growth.
  • Automation: Drive automation and ongoing refinement of analytical frameworks to improve speed and accuracy.
  • Insight Storytelling: Communicate compelling, data-backed messages to business leaders across various levels.

Eligibility Criteria

  • Educational Qualification: Bachelor’s or Master’s in Computer Science, Engineering, Statistics, Mathematics, Physics or a related discipline
  • Batch Year: 2024, 2025 or 2026 graduates with 0 to 2 years of relevant analytics experience
  • Academic Performance: Strong academic record with a quantitative background
  • Technical Skills: Strong programming skills and experience building models and analytical data products; exposure to GenAI, Big Data, PySpark, Hive, Scala and Python; familiarity with statistical and machine learning techniques
  • Communication Skills: Excellent communication and interpersonal skills with the ability to influence business leaders

Selection Process

The American Express Analyst Data Analytics 2026 follows a structured selection process designed to assess both technical depth and fit:

  • Round 1 – Application & Resume Screening: Profiles are screened for quantitative background, programming skills and analytics exposure.
  • Round 2 – Technical / Analytics Interview: An assessment of statistics, machine learning, SQL, Python and case-style problem solving.
  • Round 3 – Hiring Manager & HR Round: A final discussion on business sense, communication, stakeholder management and cultural fit.

Salary & Benefits

American Express offers a competitive salary for this role, in line with its reputation as one of the best-paying employers in the analytics space. The company backs colleagues with comprehensive benefits including medical, dental and vision coverage, support for financial well-being and retirement, generous parental leave, on-site wellness centres, the Healthy Minds counseling program and strong career development and training opportunities.

How to Apply for American Express Analyst Data Analytics 2026

  1. Click the “Apply Now” button below.
  2. You will be redirected to the official American Express careers page.
  3. Create an account or log in if required.
  4. Fill in the application form with your academic and project details.
  5. Upload your updated resume in PDF format.
  6. Submit the application and note down the reference number for future tracking.

Note: freshershunt.in is a job information platform. We are not the recruiter.
Always verify details on the official company careers page before applying.

Frequently Asked Questions – American Express Analyst Data Analytics 2026

Q1. Who is eligible to apply for American Express Analyst Data Analytics 2026?

Candidates with a Bachelor’s or Master’s in Computer Science, Engineering, Statistics, Mathematics or Physics and 0 to 2 years of analytics experience are eligible. Strong programming and modeling skills are required.

Q2. What is the salary offered in American Express Analyst Data Analytics 2026?

American Express offers a competitive salary in line with industry standards, along with comprehensive medical, financial well-being and career development benefits.

Q3. What is the job location for this role?

The Analyst – Data Analytics role is based in Gurugram, Haryana, India, with a hybrid working model.

Q4. What is the selection process for American Express Analyst Data Analytics 2026?

The process includes a resume screening, a technical analytics interview covering statistics, machine learning, SQL and Python, and a final hiring manager and HR round.

Q5. What is the last date to apply for American Express Analyst Data Analytics 2026?

As per the official posting, the role is open to applications until 21 May 2026. We recommend applying as early as possible using the Apply Now button above.

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