American Express is hiring for the position of Business Analyst – Data Analytics in Gurgaon, India. Candidates with a Bachelor’s/ Master’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/ Master’s Degree |
Batch | 2020/ 2021/ 2022/ 2023/ 2024/ 2025 |
Experience | Freshers/ Experienced |
Location | Gurgaon, India (Hybrid) |
Key Responsibilities:
- Deliver strategic analytics aimed at creating a best-in-class digital user experience and maximizing acquisition outcomes.
- Define and develop key performance indicators (KPIs) to effectively monitor the performance of acquisition experiences.
- Support the design and development of new products and digital capabilities.
- Provide analytical readouts of new product or feature launches, uncovering insights and learnings to optimize the user journey.
- Develop a deep functional understanding of enterprise-wide product capabilities and associated platforms to ensure analytical insights are both relevant and actionable.
Eligibility Criteria:
- Possess an advanced degree in a quantitative field such as Finance, Engineering, Mathematics, or Computer Science.
- Strong programming skills are preferred, with hands-on experience in Big Data languages such as Hive and Spark, as well as Python and SQL.
- Experience in processing and handling large datasets; foundational understanding of data science concepts is a plus.
- Ability to work effectively in a dynamic, cross-functional environment with strong attention to detail.
- Excellent communication skills, with the ability to engage, influence, and collaborate with stakeholders to drive alignment.
Preferred Skills:
- Strong analytical and conceptual thinking skills, with the ability to solve complex, unstructured business problems and communicate key insights clearly to senior leaders and stakeholders.
- Basic knowledge of statistical techniques, including experimentation and hypothesis testing, regression analysis, t-tests, and chi-square tests.
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.
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