American Express is hiring for the position of Business Analyst – Data Analytics in Bengaluru, India. Candidates with a Bachelor’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | American Express |
| Position | Business Analyst – Data Analytics |
| Qualifications | Bachelor’s Degree |
| Experience | Experienced |
| Location | Gurugram, India (Hybrid) |
Key Responsibilities:
- Support analytics initiatives for offer strategy, personalization (PZN), Customer Value Metrics (CMV), and lending and growth treatments, including loans, credit lines, and pricing.
- Leverage closed-loop American Express data to enhance customer targeting, arbitration, and decision-making processes.
- Conduct CMV, performance, and Test & Learn analyses to inform marketing strategies and growth initiatives.
- Build, maintain, and enhance dashboards and analytical outputs, translating data into actionable insights for business stakeholders.
- Collaborate with Marketing, Decision Science, Finance, and Technology teams to support execution, optimization, and continuous improvement of initiatives.
Critical Factors for Success:
- Apply and support Customer Value Metrics (CMV / iCMV) across offer and lending strategies.
- Enable data-driven targeting, segmentation, and personalization decisions.
- Support measurement frameworks and experimentation to evaluate campaign effectiveness.
- Contribute to analytics solutions that drive customer engagement, retention, and sustainable growth.
Leadership Outcomes:
- Demonstrate an enterprise mindset with strong learning agility and analytical curiosity.
- Communicate insights clearly and effectively while operating with integrity and a strong digital mindset.
Eligibility Criteria:
- Bachelor’s degree in Statistics, Mathematics, Economics, Engineering, or a related discipline; an advanced degree is an added advantage.
- 1–2 years of experience in analytics, marketing analytics, decision science, or a related quantitative role.
Technical / Functional Skills:
- Proficiency in SQL, Python, and PySpark, with exposure to BigQuery preferred.
- Working knowledge of A/B testing methodologies and fundamental experimentation concepts.
- Exposure to machine learning techniques such as regression, decision trees, and clustering.
- Familiarity with Generative AI tools for analysis and productivity; exposure to agentic AI is a plus.
- Experience working in big data and cloud-based environments.
About Company:
At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day.
How To Apply?
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