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🚀 American Express Analyst – Data Science Hiring 2026 | Gurugram (Hybrid) | Apply Before August 4 | Placement Officer
📌 Quick Summary
American Express (Amex) has officially opened applications for the Analyst – Data Science
role in Gurugram, Haryana (Hybrid). This is an outstanding opportunity
for candidates passionate about Data Science, Analytics, Python, SQL,
PySpark, Hive, Machine Learning, and Business Analytics. The selected
candidate will work with the Customer Growth Marketing Analytics team,
collaborating with Finance and Marketing teams to build advanced analytical
models, optimize marketing investments, and influence strategic business
decisions.
If you're looking for an
opportunity to work with one of the world's most prestigious financial services
companies while developing expertise in data-driven decision-making, this role
is worth considering.
🌟 American Express Analyst – Data Science Recruitment 2026 | Build Your Analytics Career with a Global Leader
If you aspire to work with
cutting-edge analytics, marketing optimization, and business intelligence while
contributing to one of the world's most trusted financial institutions, American
Express (Amex) offers an incredible career opportunity.
The Analyst – Data Science
role is part of the Customer Growth Marketing Analytics team under the Analytics,
Investment & Marketing Enablement (AIM) group. You'll leverage advanced
analytics, statistical modeling, Python programming, and SQL expertise to help
optimize marketing campaigns, improve customer acquisition strategies, and
deliver measurable business value.
🏢 About American Express
Founded over 175 years ago, American
Express is a globally recognized financial services company known for its
premium credit cards, payment solutions, travel services, and data-driven
innovation.
The company serves millions of
customers worldwide while continuously investing in:
·
Artificial
Intelligence
·
Advanced Analytics
·
Customer
Experience
·
Digital
Payments
·
Marketing
Technology
·
Risk
Management
·
Financial
Innovation
American Express empowers employees
through continuous learning, leadership development, and an inclusive workplace
culture.
📋 Job Overview
|
Particular |
Details |
|
Company |
American
Express |
|
Position |
Analyst –
Data Science |
|
Job ID |
26011481 |
|
Location |
Gurugram,
Haryana, India |
|
Work Mode |
Hybrid |
|
Department |
Data
Management & Analytics |
|
Career Area |
Analytics
& Risk Management |
|
Employment
Type |
Full-Time |
|
Shift |
Day Shift |
|
Minimum
Qualification |
Bachelor's
Degree |
|
Preferred
Qualification |
Master's
Degree (Quantitative Field) |
|
Last Date to
Apply |
August 4, 2026 |
🎓 Batches Eligible
The official job description
specifies a Bachelor's Degree as the minimum qualification but does not
explicitly mention eligible graduation batches.
Based on the role requirements, the
opportunity is generally suitable for:
✅ 2024 Graduates
✅ 2025 Graduates
✅ 2026 Graduates (if degree
completed and qualifications match)
✅ Early-career professionals with
relevant analytics skills
Candidates with internships or
project experience in Data Science, Business Analytics, or Marketing Analytics
will have an added advantage.
📝 Detailed Job Description
As an Analyst – Data Science,
you'll join the Customer Growth Marketing Analytics team responsible for
improving customer acquisition and marketing performance for the US Small &
Medium Enterprise (SME) segment.
You'll build analytical frameworks,
generate business insights, optimize marketing investments, and work with
Finance and Marketing stakeholders across global teams.
The role requires a combination of
technical expertise, business understanding, communication skills, and data
storytelling.
💼 Key Responsibilities
📊 Marketing Analytics
·
Analyze
marketing performance.
·
Optimize
customer acquisition campaigns.
·
Improve
engagement strategies.
·
Build
analytical models.
📈 Investment Optimization
·
Develop
decision-making frameworks.
·
Improve
targeting strategies.
·
Enhance
customer lifetime value models.
·
Optimize
marketing investments.
🤝 Cross-Functional Collaboration
Work closely with:
·
Finance Teams
·
Marketing
Teams
·
US Consumer
Services
·
Channel Owners
·
Global
Stakeholders
📉 Business Intelligence
·
Interpret
business data.
·
Generate
actionable insights.
·
Present
findings to senior leadership.
·
Recommend
strategic improvements.
🔄 Project Management
·
Manage
multiple projects simultaneously.
·
Track
performance metrics.
·
Deliver
high-quality analytical solutions.
🛠 Essential Skills Required
American Express expects candidates
with strong analytical and technical capabilities.
Programming & Analytics
·
Python
·
SQL
·
Hive
·
PySpark
Data Science
·
Statistical
Modeling
·
Data Mining
·
Predictive
Analytics
·
Marketing
Analytics
Business Intelligence
·
Data
Visualization
·
Dashboarding
·
Excel
·
PowerPoint
Communication Skills
·
Data
Storytelling
·
Stakeholder
Management
·
Business
Presentation
·
Cross-functional
Collaboration
Soft Skills
·
Analytical
Thinking
·
Problem
Solving
·
Project
Management
·
Critical
Thinking
·
Decision
Making
·
Attention to
Detail
·
Time Management
⭐ Preferred Qualifications
Candidates with the following
educational backgrounds are preferred:
·
Statistics
·
Mathematics
·
Economics
·
Engineering
·
Physics
·
Business
Analytics
A Master's degree in a
quantitative or business discipline is preferred but not mandatory.
🎁 Employee Benefits
American Express provides one of
the strongest employee benefit programs in the industry.
✨ Competitive Salary
💰 Annual Bonus
🏥 Comprehensive Health
Insurance
🦷 Dental & Vision
Coverage
❤️ Life Insurance
🏡 Hybrid Work Model
👶 Paid Parental Leave
🩺 Wellness Centers
🧠 Healthy Minds Counseling
Program
📚 Learning &
Development Programs
🚀 Leadership Development
Opportunities
💰 Expected Salary (Estimated)
Although American Express has not
officially disclosed the salary for this position, market comparisons for Analyst
– Data Science roles in Gurugram suggest the following annual compensation:
|
Experience |
Estimated Annual Salary |
|
Entry-Level
Analyst |
$14,000 – $20,000 (approximately ₹12–17
LPA) |
|
1–3 Years
Experience |
$18,000 – $28,000 (approximately ₹15–24
LPA) |
|
Experienced
Professionals |
$28,000 – $40,000+ (approximately ₹24–35+
LPA) |
Disclaimer: These figures are estimated based
on comparable data science and analytics roles in the Indian market. Actual
compensation depends on experience, interview performance, location, and
company policy.
🎯 Why You Should Apply
✅ Work for a Fortune Global
financial leader
✅ Hybrid work flexibility
✅ Exposure to global business teams
✅ Hands-on experience with advanced
analytics
✅ Excellent career growth
opportunities
✅ Learn from experienced analytics
professionals
✅ Competitive salary and
comprehensive benefits
✅ Global learning and leadership
development
🚀 Pro Tips to Get Selected
✅ Master SQL
Practice:
·
Joins
·
Window
Functions
·
CTEs
·
Aggregations
·
Query
Optimization
✅ Strengthen Python Skills
Focus on:
·
Pandas
·
NumPy
·
Scikit-learn
·
Data Cleaning
·
Feature
Engineering
✅ Learn PySpark & Hive
Understand:
·
Distributed
Data Processing
·
Spark
DataFrames
·
Hive Queries
·
Big Data
Concepts
✅ Build Real Analytics Projects
Develop projects such as:
·
Customer Churn
Prediction
·
Marketing
Campaign Analysis
·
Credit Risk
Models
·
Customer
Segmentation
·
Recommendation
Systems
Host your work on GitHub and
include dashboards or notebooks where possible.
✅ Improve Business Communication
Prepare to explain:
·
Your
analytical approach
·
Key business
insights
·
Project impact
·
Data-driven
recommendations
✅ Prepare an ATS-Friendly Resume
Highlight:
·
Python
·
SQL
·
PySpark
·
Hive
·
Machine
Learning
·
Data Analytics
Projects
·
Certifications
·
GitHub
Portfolio
·
Internship
Experience
🌟 Unique Highlights
🌍 Work with global Finance
and Marketing teams
📊 Solve real-world business
problems using data
🤖 Utilize advanced
analytics and statistical modeling
🏡 Enjoy a hybrid work
environment
📈 Influence strategic
decision-making
🎯 Gain exposure to
enterprise-scale marketing analytics
🚀 Learn from industry-leading
analytics professionals
💼 Build a long-term career
in analytics and risk management
❓ Frequently Asked Questions (FAQs)
1. What is the position offered by American Express?
The company is hiring for the Analyst
– Data Science role within its Analytics & Risk Management division.
2. Where is the job located?
The role is based in Gurugram,
Haryana, India, with a hybrid work model.
3. What is the application deadline?
Applications are scheduled to close
on August 4, 2026.
4. Which technical skills are essential?
Candidates should have expertise in
Python, SQL, Hive, PySpark, statistical modeling, data mining, Microsoft
Excel, and PowerPoint.
5. Is a Master's degree mandatory?
No. A Bachelor's degree is
the minimum requirement. A Master's degree in a quantitative field is
preferred but not mandatory.
6. What type of projects will I work on?
You'll contribute to marketing
analytics, customer acquisition optimization, investment optimization, business
intelligence, and data-driven decision frameworks.
7. Is this role suitable for fresh graduates?
The job description does not
explicitly state that it is a fresher role. Strong analytical skills, relevant
projects, internships, or early-career experience in data science and analytics
will significantly strengthen your application.
🎯 Conclusion
The American Express Analyst – Data Science opportunity is an excellent choice for candidates who enjoy transforming data into strategic business decisions. With exposure to global teams, advanced analytics, marketing optimization, and enterprise-scale projects, this hybrid role offers outstanding professional growth, competitive compensation, and world-class learning opportunities. If you have strong foundations in Python, SQL, Hive, PySpark, statistical analysis, and business communication, prepare a compelling ATS-friendly resume, showcase impactful analytics projects, and apply before the deadline to maximize your chances of joining Team Amex.
🔗 Apply Link: Click Here To Apply for American Express
|
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Disclaimer
The recruitment details shared above are for informational purposes only and
have been obtained from the organization’s official website. We do not
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