American Express Careers 2024: Hiring Data Analyst (Freshers and Experienced). As a part of the team, you’ll have the opportunity to work in one of the best companies for data scientists in the country. You will solve real world business problems while getting exposure to the industry’s top leaders in analytics, data science and machine learning. If you’re passionate about solving complex problems and crafting solutions that impact millions, you should consider a career in CFR.
Details about American Express Careers 2024: Hiring Data Analyst
| Company name | American Express |
| Job Role | Data Analyst |
| Work Location | Gurgaon, Bangalore |
| Job Type | Full Time |
| Experience | Freshers and Experienced |
| Qualification | MBA, Master’s Degree In Economics, Statistics, Computer Science Or related fields |
| Batch | Not Mentioned |
| Expected Salary | 20 LPA |
Responsibilities:
- Understand the core business of AXP and the levers behind various decisions
- Analyze large amounts of data to derive business insights and create innovative solutions
- Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
- Innovate with a focus on developing newer and better approaches using big data & machine learning solution
- Clear articulation and structuring of business findings across prospect and customer domain to the leadership and key partners
- Maintain external lens and be aware of developments in the field of Finance/Payments/Analytics etc.
Minimum Qualifications
- MBA, Master’s Degree In Economics, Statistics, Computer Science Or related fields
- Expertise in Coding, Algorithm, High Performance Computing
- 0-30 months of experience in analytics, big data workstreams
- Ability to drive project deliverables to achieve business results
- Ability to work effectively in a team environment
- Strong communication and interpersonal skills
- Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives
- Ability to Integrate with Cross-Functional Business Partners Worldwide
- SAS, R, Python, Hive, Spark, SQL
- Unsupervised and supervised techniques -: active learning, transfer learning, neural models, Decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, Map Reduce techniques, attribute engineering
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