American Express Hiring Drive 2024: American Express Hiring Drive 2024 for its data analytics. American Express Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a BSc/MSc Statistics/Mathematics/Economics/ Engineering degree. if you are interested, please apply as soon as possible.
Company Name: American Express
Role: Data Analytics
Location: Gurgaon
Experience: 1-2 years
Qualification: BSc/MSc Statistics/Mathematics/Economics/ Engineering
Batch: Any
Job Type: Full Time
Salary: 12.0 LPA (Expected)
American Express Hiring Drive 2024
Job Description:
- This position will report to Manager, Merchant Product Analytics and will be responsible to create analytical solutions to enrich merchant prospect or customer’s features like Revenue, Brand, Business Status etc. and enhance merchant matching algorithm through development and deployment of cutting-edge solutions leveraging structured and unstructured data.
Requirements:
- Self-starter, ability to drive insights from data, provide action steps and drive results in a fast-paced environment
- Demonstrate thought leadership and accountability to own delivery end-to-end
- Intellectual curiosity and ability to learn quickly
- Demonstrate attention to detail and ability to drive results
- Degree in a quantitative field – e.g. BSc/Msc Statistics/Mathematics/Economics/ Engineering
- Preferred 1-2 years of relevant experience with strong knowledge of skills like Python, Hive, SAS, SQL & Advanced Excel required
- We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life.
Responsibility:
- Devise, design & develop cutting edge, customized solutions for marketing initiatives
- Leverage the power of closed loop through Amex network for feature enhancement
- Innovate with a focus on developing newer and better approaches using big data & best in class algorithms
- Stay current in their field and up to date with the latest business statistics, algorithms and data mining practices
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