American Express Career 2024 Invites Students From Various Disciplines to apply for the Position of Data Analytics Associate in Gurgaon, India(Hybrid)
Below you will find more details about what you need to know if you are Interested and Eligible
American Express Recruitment Details :-
| Company Name: | American Express |
| Post Name: | Data Analytics Associate |
| Salary: | INR 4-8 LPA (via Glassdoor) |
| Degree: | Bachelor’s degree |
| Batch: | 2020/2021/2022/2023/2024 |
| Experience: | Freshers/Experienced |
| Job Location: | Gurgaon, India(Hybrid) |
Job Description & Responsibilities:-
- Deliver strategic analytics focused on Performance Marketing channels/Digital Acquisition, membership experiences as well as Platforms & Labs
- Define and build key KPIs to monitor the channel/product/platform health and success
- Support the development of new products and capabilities
- Deliver read of campaigns uncovering insights and learnings that can be utilized to further optimize the channels
- Gain a deep functional understanding of the enterprise-wide product capabilities and associated platforms over time and ensure analytical insights are relevant and actionable
- Power in-depth strategic analysis and provide analytical and decision support by mining digital activity data along with AXP closed-loop data
Eligibility Criteria:-
- Advanced degree in a quantitative field (e.g. Finance, Engineering, Mathematics, Computer Science)
- Strong programming skills are preferred. Some experience with Big Data programming languages (Hive, Spark), Python, and SQL.
- Experience in large data processing and handling and understanding of data science is a plus.
- Ability to work in a dynamic, cross-functional environment with strong attention to detail.
- Excellent communication skills with the ability to engage, influence, and encourage partners to drive collaboration and alignment.
Required Skills Set:-
- Strong analytical/conceptual thinking competence to solve unstructured and complex business problems and articulate key findings to senior leaders/partners in a succinct and concise manner.
- Basic knowledge of statistical techniques for experimentation & hypothesis testing, regression, t-test, chi-square test.
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