Urgent — The last date to apply is 13 May 2026!
Application Deadline: 13 May 2026 — 12:00 AM
Job Posted: 05 May 2026
Apply Immediately — DO NOT wait even one day!
About American Express
American Express is one of the most iconic and respected financial services companies in the entire world. The company has a remarkable history of more than 175 years of innovation, trust and excellence in financial services. American Express is globally recognised for its premium credit cards, charge cards, travel services and payment network that serves millions of customers, merchants and businesses across the world. The company operates with a strong culture built on shared values, leadership behaviours and an unwavering commitment to back its customers, communities and colleagues in every situation. American Express is known for delivering differentiated financial products and providing world-class customer service while maintaining the highest standards of trust, security and integrity. In India American Express has major offices in Gurugram and other cities where thousands of talented professionals work on cutting-edge analytics, technology and financial services solutions. Working at American Express is considered one of the most prestigious career opportunities available for analytics and finance professionals in India today.
Job Details
| Company | American Express |
| Role | Analyst – Data Analytics |
| Location | Gurugram, Haryana, India |
| Job Type | Full Time |
| Last Date | 13 May 2026 |
Job Description
American Express is looking for a highly analytical and motivated data analytics analyst to join their Global Merchant and Network Services analytics team in Gurugram. This is a hybrid role with day shift timings, giving you an excellent work-life balance.
The Global Merchant and Network Services organisation manages relationships with millions of merchants and partners around the world who facilitate American Express payment acceptance. Within this organisation the newly created UMGEA team — US Merchant Marketing, Global Marketing Execution and Analytics — is responsible for leveraging marketing and analytics capabilities to drive sustainable business growth.
In this role you will work on the GMNS Analytics team, which partners with global markets to drive profitable growth, accelerate acceptance and amplify the value of American Express to merchants, bank partners and card members at massive scale. You will use powerful data tools and generate actionable insights that attract new businesses to engage with American Express and help existing businesses improve their performance.
This is an exceptional opportunity for data analytics professionals who want to work on one of the world’s most sophisticated payment network analytics platforms at a 175-year-old globally trusted financial institution
Key Responsibilities
Analytics and Reporting:
Support reporting, measurement and analytical foundations for evolving acquiring models in payments space
Evaluate current reporting to identify automation opportunities and eliminate redundancies
Address reporting gaps and develop improved reporting solutions for business teams
Create solutions focusing on strategic priorities and driving measurable business outcomes
Effectively use personalization capabilities to optimize business objectives and performance
Data Quality and Automation:
Focus on data quality by leveraging internal American Express data systems
Support automation and scaling of analytics using relevant modern data tools
Support conception and development of data tools and treatments that drive merchant value
Enable greater merchant engagement across multiple channels through data-driven solutions
Evaluate new advanced analytics techniques to build on existing analytical solutions
Business Intelligence:
Understand how GMNS’s business strategy is enabled through existing analytical solutions
Identify emerging data capabilities that can be built to address key business needs
Work in a dynamic, fast-changing environment with strong attention to detail
Drive results through multifunctional collaboration across global teams
Provide meaningful insights to inform business strategy at senior leadership level
Innovation and Leadership:
Put enterprise thinking first and connect analytics work to enterprise-wide priorities
Lead with external perspective and challenge status quo in analytics approaches
Bring continuous innovation to existing offerings and analytical frameworks
Demonstrate learning agility and make data-driven decisions quickly and with integrity
Balance needs of customers, partners, colleagues and shareholders in all analytical work
Required Skills
Technical Skills Must Have:
Strong proficiency in SQL for data querying and analysis
Experience with Google BigQuery for large-scale data processing
Knowledge of Python or R for statistical analysis and data manipulation
Familiarity with Tableau for data visualization and dashboard creation
Ability to work with unstructured and semi-structured data sets
Understanding of data quality frameworks and data governance
Technical Skills Good to Have:
Experience with PySpark for large-scale data processing
Knowledge of Lumi analytics platform
Experience with Machine Learning techniques and model development
Cloud computing experience with platforms like Google Cloud or AWS
Generative AI experience and knowledge of LLM applications in analytics
Experience in merchant business or payments industry analytics
Business and Analytical Skills:
Strong analytical skills to interpret complex data and understand complex processes
Ability to provide meaningful insights that inform business strategy decisions
Strong project management skills to handle multiple analytical workstreams
Ability to work with unstructured data and ambiguous business problems
Experience evaluating and improving existing reporting and analytics solutions
Communication and Leadership Skills:
Clear and concise written and verbal communication skills in English
Strong presentation skills to present findings to senior leaders confidently
Ability to influence external partners, colleagues and senior leaders with robust analysis
Strong business intuition to connect data insights to real business outcomes
Good interpersonal skills for effective collaboration across global teams
Eligibility Criteria
Education: bachelor’s degree is mandatory — MBA or advanced degree strongly preferred
Strong SQL and Python or R programming skills required
Google BigQuery and Tableau experience preferred
Experience in data analytics, business intelligence or related field
Merchant business or payments industry experience is a strong advantage
Must be willing to work in hybrid mode from Gurugram office
Day shift availability required
Strong English communication and presentation skills mandatory
Highly motivated self-starter attitude with excellent project management skills
Salary and Benefits
American Express Backs You With Outstanding Benefits:
Financial Benefits:
Competitive base salary as per global financial services industry standards
Performance-based bonus incentives every year
Support for financial wellbeing and retirement planning
Provident Fund and other statutory benefits as per Indian law
Health and Wellness Benefits:
Comprehensive medical, dental and vision insurance coverage
Life insurance and disability benefits for employee and family
Free access to global onsite wellness centers staffed with nurses and doctors
Free and confidential counseling support through Healthy Minds program
Complete holistic wellbeing support — physical, financial and mental health
Work Life Balance Benefits:
Hybrid flexible working model with day shift timings
Generous paid parental leave policies for new parents
Flexible arrangements based on role and business needs
Career Benefits:
World-class career development and training opportunities
American Express name on resume — one of most prestigious brands globally
Exposure to global merchant and payment network analytics at massive scale
Opportunity to work on cutting-edge ML, Cloud and Gen AI analytics projects
Your voice and ideas genuinely matter at American Express
Why Join American Express
If you are a data analytics professional looking to work at one of the most prestigious and stable financial institutions in the world, then American Express is an outstanding opportunity. Here are powerful reasons to apply before the 13 May deadline:
Reason 1 — American Express Brand Prestige: American Express is a 175-year-old globally recognised brand. Having American Express on your resume immediately elevates your professional profile to the highest level. Recruiters at top companies around the world recognise and respect the American Express brand instantly.
Reason 2 — Payment Network Analytics at Scale: At American Express you will work with data from millions of merchants and billions of transactions across the world. The scale of analytics problems you will solve here is incomparable to almost any other company in India. This experience makes you an extremely valuable data professional.
Reason 3 — Cutting-Edge Technology Stack: American Express uses Google BigQuery, PySpark, Python, R, Tableau, machine learning and generative AI in their analytics work. Working with this world-class technology stack will make you one of the most technically skilled data analysts in the industry.
Reason 4 — Holistic Wellbeing Support: American Express genuinely cares about employee wellbeing in a way that very few companies do. Free wellness centres with doctors and nurses, confidential mental health counselling, comprehensive insurance and generous parental leave all show that Amex truly backs its employees in every aspect of life.
Reason 5 — Direct Business Impact: The insights you generate at American Express directly influence how millions of merchants engage with the payment network and how billions of dollars in marketing investments are optimised. Your analytics work has a genuinely massive and measurable real-world business impact.
Reason 6 — Global Collaboration: The GMNS Analytics team partners with global markets across the world. You will collaborate with colleagues and stakeholders from the USA, Europe, Asia Pacific and other regions, giving you exceptional international professional exposure.
Reason 7 — Day Shift Hybrid Role: This role offers day shift timings with hybrid work flexibility. This is much better than night shift IT roles and gives you an excellent work-life balance while working at a globally prestigious company.
Interview Preparation
How to Prepare for American Express Data Analytics Interview:
SQL and Data Questions:
Write a SQL query to find the top 10 merchants by transaction volume last month
What is the difference between GROUP BY and PARTITION BY in SQL?
How do you handle duplicate records in a large dataset?
What is a common table expression, and when do you use it?
How do you optimise a slow-running SQL query on BigQuery?
What is the difference between INNER JOIN, LEFT JOIN and FULL OUTER JOIN?
How do you calculate month-over-month growth using SQL window functions?
Python and Analytics Questions:
How do you use Pandas for data cleaning and transformation in Python?
What is the difference between a list and a dictionary in Python?
How do you handle missing values in a dataset using Python?
What libraries do you use for data visualisation in Python?
How do you merge two large datasets efficiently in PySpark?
What is the difference between supervised and unsupervised machine learning?
Business Analytics Questions:
How do you measure the effectiveness of a merchant marketing campaign?
What metrics would you use to evaluate merchant engagement with a payment network?
How do you identify anomalies in payment transaction data?
Walk me through how you would build a merchant churn prediction model
How do you present complex data findings to non-technical senior leadership?
What is the difference between a KPI and a metric in business analytics?
Tableau and Visualisation Questions:
What types of charts do you use for different types of data analysis?
How do you create a calculated field in Tableau?
What is the difference between a dashboard and a story in Tableau?
How do you connect Tableau to Google BigQuery?
How do you design a dashboard that senior executives can understand quickly?
HR Questions:
Tell me about yourself
Why do you want to join American Express?
What do you know about the GMNS team and their work?
How do you handle working with ambiguous or incomplete data?
Give an example of an analytics project where your insights drove business decisions
How do you prioritise multiple analytical projects with tight deadlines?
Where do you see yourself in 5 years in your analytics career?
Tips to Get Selected:
Practice SQL on LeetCode and HackerRank — American Express interviews heavily test SQL
Build a Tableau dashboard portfolio to show during an interview.
Research American Express merchant network and payment products thoroughly
Prepare 2 to 3 detailed examples of analytics projects with measurable business impact
Show genuine passion for payments industry and merchant analytics
Demonstrate both technical SQL Python skills and business communication skills
Apply before 13 May 2026 — deadline is extremely close
How to Apply
Steps to Apply for American Express Data Analytics Analyst 2026:
Step 1 — Click Apply Now button below IMMEDIATELY
Step 2 — Go to American Express official careers website
Step 3 — Search for Job ID: 26007022
Step 4 — Create your American Express careers account
Step 5 — Fill all personal, academic and work experience details carefully
Step 6 — Upload updated resume highlighting SQL, Python and BigQuery skills
Step 7 — Mention all analytics tools and merchant business experience
Step 8 — Submit before 13 May 2026 at 12:00 AM — no exceptions
HERE IS YOUR APPLICATION LINK
JOIN OUR TELEGRAM FOR JOB UPDATES
IMPORTANT POINT BEFORE APPLYING:
Highlight SQL and Python or R skills. Prominently at top of resume
Add Google BigQuery and Tableau experience with specific project examples
mention any payments, merchant or financial services analytics experience
Include any machine learning or Gen AI projects in your portfolio
Apply Today — Deadline is 13 May 2026, and only days remain
A background verification check is required after the offer. — keep all documents ready
DISCLAIMER
iskalyanjobs.com shares genuine job links directly from official company websites. Please verify all job details on the American Express Official Careers website before applying. We are not responsible for any changes made by the company after posting. American Express is an equal opportunity employer. offer of employment is conditioned upon successful completion of background verification check