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MNC

Analyst - Data Analytics

American Express
📍 pan india 💰 8-14 LPA • Full-Time • Hybrid • Data Science
Product-Based

Junior Data Scientist

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📍 gurugram 💰 8-14 LPA • Full-Time • Office • Data Science
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📍 hyderabad 💰 8-14 LPA • Apprenticeship • Office • IT
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📍 bangalore 💰 8-14 LPA • Full-Time • Office • Operations
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Associate Software Engineer

EY
📍 bangalore 💰 8-14 LPA • Full-Time • Office • IT
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Analyst - Data Analytics

KPMG
📍 mumbai 💰 8-14 LPA • Full-Time • Office • Data Science
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Content Manager- I, Business & Operations

Oracle
📍 bangalore 💰 8-14 LPA • Full-Time • Office • Operations
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Associate Software Engineer

Wissen
📍 hyderabad 💰 8-14 LPA • Full-Time • Office • IT
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Software Engineer Trainee

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📍 pune 💰 8-13 LPA • Full-Time • Office • IT
American Express Logo

Analyst - Data Analytics

American Express

Mnc-Based
Check Resume Match for This Job See how your resume matches this specific job
📍 Location pan india
💰 Salary 8-14 LPA
📅 Posted Mar 29, 2026
📝 Job Type Full-Time
🏠 Work Mode Hybrid
🏭 Industry Data Science

Job Description

American Express is hiring Data Analytics Analysts for freshers and experienced professionals with hybrid work model. You will analyze financial data, develop insights, and support business decisions. Responsibilities include working with data, creating reports, and building analytical models. This hybrid role offers exposure to financial services analytics.

Requirements

Bachelor's or Master's degree required. Strong analytical skills essential. Proficiency in SQL and Excel important. Knowledge of Python beneficial. Good communication skills.

Required Skills

Data Analysis SQL Python Excel Analytics Banking

Hiring Insights

  • Hiring Status: actively hiring
  • Batch Priority: 2023-2025
  • Expected Response Time: 3-4 weeks
  • Preferred Qualification: B.Tech,BE,MSc,MBA

Note: Insights are based on previous hiring patterns and community feedback.

Selection Process

  1. Step 1 Online Application
  2. Step 2 SQL Test
  3. Step 3 Analytical Assessment
  4. Step 4 Interview
  5. Step 5 HR Round
  6. Final Result Announcement

Typical process based on past hiring patterns at mnc-based companies.

Who Should Apply

Data analysts interested in financial services.

Common Reasons for Rejection

  • Weak SQL skills
  • Poor analytical abilities

Frequently Asked Questions

Is this role open for freshers?
Yes, this opportunity is suitable for fresh graduates and entry-level candidates.

Is work from home available?
Depends on company policy and project allocation. Hybrid details are mentioned above.

Is there any bond?
Bond details, if any, are usually discussed during HR rounds.

What is the application deadline?
We recommend applying as soon as possible as fresher positions fill up quickly.

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