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American Express is hiring for an Analyst – Data Science position in Gurugram! This is an excellent opportunity for freshers and early-career professionals with 0–2 years of experience who want to build a career in Data Science, Analytics, Machine Learning and customer analytics.

📍 Location: Gurugram, Haryana | 💼 Experience: 0–2 Years | 🏢 Work Model: Hybrid | 🆔 Job ID: 26012603 | 📅 Apply Before: August 25, 2026 | 💼 Type: Full-time

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🏦 About American Express

American Express is a global payments and premium lifestyle brand headquartered in New York. Founded in 1850, the company has evolved from an express delivery business into a technology-driven global financial services organization. American Express celebrated its 175th anniversary in 2025, maintaining its long-standing focus on trust, security, service and customer experience.
The company operates across consumer and commercial payments, travel and lifestyle services, and uses technology and analytics extensively to understand customers and improve products and experiences. Its official company information says American Express has more than 60,000 colleagues globally.

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📌 Analyst – Data Science Job Details

• Company: American Express
• Role: Analyst – Data Science
• Job ID: 26012603
• Experience: 0–2 years
• Location: Gurugram, Haryana
• Work Model: Hybrid
• Education: Master’s degree in a quantitative field
• Core Skills: SQL, Python, Statistics, Machine Learning
• ML Techniques: Regression, Decision Trees, Clustering, XGBoost
• Analytics: Test & Control, Campaign Measurement, Segmentation
• Bonus: GenAI, Prompt Engineering, RAG

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🎓 Why Is This Role Excellent for Freshers?

This is not a typical entry-level reporting or dashboard role. A fresher joining this team can potentially work on real customer datasets, experimentation, segmentation, statistical modeling and machine-learning problems.
The role provides exposure to the complete analytics lifecycle: understanding a business problem, extracting data with SQL, analyzing customer behavior, building models, measuring campaign impact and translating findings into recommendations for marketing and product stakeholders.

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🛠️ Skills Required

Candidates should prioritize these areas:

• 🗄️ Advanced SQL: JOINs, CTEs, subqueries, window functions, CASE statements, aggregations and query optimization.
• 🐍 Python: Pandas, NumPy, data cleaning, exploratory analysis and basic visualization.
• 📊 Statistics: Probability, hypothesis testing, confidence intervals, correlation, distributions and statistical significance.
• 🧪 Experimentation: A/B testing, Test & Control design, treatment/control groups and incremental impact.
• 🤖 Machine Learning: Regression, decision trees, clustering and XGBoost.
• 🎯 Customer Analytics: Segmentation, propensity, targeting, personalization and campaign measurement.
• 💰 Business Analytics: ROI, conversion, incremental lift and performance measurement.
• 🧠 Problem Solving: Breaking ambiguous business problems into measurable analytical questions.

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🎯 Expected Interview Rounds at American Express

Round 1 – Online Assessment/Technical Screening: Depending on the hiring route, expect SQL, Python, statistics, machine-learning fundamentals and analytical reasoning. Past Amex fresher data-analytics processes have included SQL, Python, ML fundamentals and aptitude.
Round 2 – Technical Interview: Prepare advanced SQL, Python/Pandas, statistics and ML concepts. Be ready to explain projects listed on your resume in detail.
Round 3 – Analytics/Case Study: You could receive a customer or marketing problem and be asked how you would measure performance, create segmentation or determine whether a campaign generated incremental impact.
Round 4 – Managerial/Behavioral: Expect stakeholder-management, ambiguity, teamwork, communication and “Why American Express?” questions.

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💰 Expected Salary Range

The job posting does not disclose the compensation for Job ID 26012603. Current salary data provides a useful benchmark: AmbitionBox reports American Express Analyst salaries in Gurugram at approximately ₹12.7–20.6 LPA across 1–9 years, while its data-science analyst data indicates approximately ₹15–24 LPA for 0–3 years.
For this specific 0–2 year Analyst – Data Science role, a reasonable expectation could be around ₹12–20 LPA total compensation, depending on qualifications, relevant projects, hiring level and the final offer.

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📚 Preparation Tips

1. Master SQL before everything else. Practice customer-level aggregations, transaction analysis, window functions, CTEs and identifying repeat customers.
2. Build a campaign analytics project: Create a dataset with treatment/control groups and calculate conversion rate, incremental lift and ROI.
3. Practice segmentation: Use Python to divide customers into meaningful groups and explain why the segments are useful to a marketing team.
4. Revise XGBoost and model evaluation: Know feature importance, overfitting, cross-validation, precision/recall and when tree-based models are appropriate.
5. Prepare experimentation scenarios: Know how you would design a Test & Control experiment and determine whether the observed improvement is statistically meaningful.
6. Practice business cases: For example, “A campaign increases spending but reduces profitability—what would you investigate?”
7. Learn Amex’s business model: Understand cards, merchants, customer engagement, rewards and why customer-level analytics matters.
8. Prepare one GenAI example: Even a small project demonstrating prompt engineering or RAG can help differentiate your fresher profile.

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📄 Resume Tips for This Specific Role

Your resume should immediately communicate Data Science + SQL + Python + Business Analytics rather than simply listing machine-learning libraries.
Highlight SQL, Python, Pandas, Statistics, Machine Learning, Regression, Decision Trees, Clustering, XGBoost, A/B Testing, Test & Control, Customer Segmentation, Campaign Analytics and Data Visualization where genuinely applicable.
Projects are extremely important for a fresher. Instead of writing “Built an ML project,” write: “Developed a customer segmentation model using clustering on X,XXX records and identified distinct behavioral groups to support targeted marketing strategies.”
For every project, mention business problem → dataset → methodology → model → evaluation → insight → business impact.

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📩 How to Apply

👉 Application Link: Click Here

The supplied vacancy lists Job ID 26012603 and an application deadline of August 25, 2026. Candidates should apply through the official American Express careers platform and search for “26012603” or “Analyst-Data Science” in Gurugram.
Before submitting your application, make sure your resume clearly demonstrates the quantitative degree requirement, SQL proficiency, Python/data-analysis skills and at least one meaningful analytics or machine-learning project.

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⭐ Final Verdict

This is a high-quality fresher opportunity for candidates targeting Data Science and Analytics careers. The combination of SQL + Python + statistics + machine learning + experimentation + customer analytics provides a strong foundation for future Data Scientist, Decision Scientist, Marketing Analytics, Customer Analytics and Senior Data Science Analyst roles.
🎯 Best preparation strategy: don’t prepare SQL, ML and statistics as separate subjects. Practice solving a complete business problem—from customer data → SQL analysis → segmentation/model → Test & Control → campaign measurement → business recommendation. That is much closer to the work described in this American Express role.

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