American Express Hiring 2026: American Express hiring 2026 — Apply for Analyst, Data Analytics roles (freshers & experienced). Check eligibility, salary, application link, and interview tips. Apply now.
🔍 About American Express:
American Express is a global services company, provides customers with exceptional access to products, insights and experiences that enrich lives and build business success. Each day, American Express makes it easier, safer and more rewarding for consumers and businesses to purchase the things they need and for merchants to sell their goods and services. An engine of commerce, American Express provides innovative payment, travel and expense management solutions for individuals and businesses of all sizes. Most of all, we help our customers realize their dreams and aspirations through industry-leading benefits, access to unique experiences, business-building insights, and global customer care. We enable our customers to do and achieve more.
💼 Job Role: Analyst – Data Analytics
Location: Gurugram
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📝 Job Description:
- Develop/enhance precursors in AI models partnering with Decision science and collaborate across Marketing, Risk, and Sales to help design customized treatments depending upon the precursors.
- Be a key analytical partner to the Marketing and Measurement teams to report on Digital, Field and Phone Programs that promote growth and retention.
- Support and enable the GCS partners with actionable, insightful analytical solutions (such as triggers, Prioritization Tiers) to help the Field and Phone Sales team prioritize efforts effectively.
- Partner with functional leaders, Strategic Business Partners, and Senior leaders to assess and identify opportunities for better customer engagement and revenue growth.
- Excellent communication skills with the ability to engage, influence, and inspire partners and stakeholders to drive collaboration and alignment.
- Exceptional execution skills – be able to resolve issues, identify opportunities, and define success metrics and make things happen. Drive Automation and ongoing refinement of analytical frameworks.
- Willingness to challenge the status quo; breakthrough thinking to generate insights, alternatives, and opportunities for business success.
- High degree of organization, individual initiative, and personal accountability.
Requirements:
- 0-2 years of relevant experience in analytics.
- Bachelor’s or master’s in computer science, Engineering, Statistics, Mathematics, Physics, or related discipline.
- Strong programming skills & experience with building models & analytical data products are required. Experience with technologies such as GenAI, Big Data, PySpark, Hive, Scala, Python
- Proficiency & experience in applying cutting edge statistical and machine learning techniques to business problems and leverage external thinking (from academia and/or other industries) to develop best in class data science solutions.
- Excellent communication and interpersonal skills, and ability to build and retain strong working relationships.
- Ability to interact effectively and deliver compelling messages to business leaders across various band levels.
Preferred Qualifications:
- Good knowledge of statistical techniques like hypothesis testing, regression, KNN, t-test, chi-square test
- Demonstrated ability to work independently and across a matrix organization partnering with capabilities, decision sciences, technology teams and external vendors to deliver solutions at top speed.
- Experience with commercial data and ability to create insights and drive results.
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📌 Eligibility Criteria
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Qualification: B.E / B.Tech / M.E / M.Tech
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Work Experience: 0 – 2 Years
✅ How to Apply for American Express Hiring 2026?
Interested candidates can apply online by clicking the application link below: