Analyst-Data Analytics (Python, SQL, Gen AI)
American Express (company site, opens in a new tab)GurugramHybridDirect career pageEst. 12–22 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Drive sentinel analytics across channels and Amex commercial products focusing on gaming prevention and profitable customer acquisitions.
- Design and implement advanced analytical and machine learning solutions including data mining and integration of AI/GenAI techniques for marketing analytics.
- Collaborate cross-functionally with channel owners, business partners, and technology teams to deliver actionable insights and measurable business impact.
Minimum Requirements
- Bachelor's in engineering or Master’s/PhD in quantitative fields such as Statistics, Engineering, Physics, Mathematics, or Economics.
- Hands-on experience with data science tools and techniques including Big Data, PySpark, Hive, Scala, and Python.
- Experience applying statistical and machine learning techniques to solve business problems and developing data science solutions.
- Work Experience Required: Not explicitly mentioned in the JD. Location: Gurgaon, India.
Ideal Candidate Profile
- Proven ability to manage multiple concurrent analytics projects with effective cross-team collaboration and project management skills.
- Strong quantitative and analytical skills with demonstrated experience in advanced data mining and machine learning applications in marketing or commercial analytics.
- Comfortable working in a dynamic environment, adapting quickly to evolving analytics technologies including AI and GenAI.