Business Analytics with Python and SQL
Citi (company site, opens in a new tab)3+ yrsBengaluruOn-siteDirect career pageEst. 12–20 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Analyze business problems across client lifecycle stages including acquisition, engagement, experience, and retention for Treasury & Trade Services business.
- Leverage multiple analytical techniques and work with diverse data sources (structured and unstructured) to generate data-driven insights.
- Develop predictive models, identify business opportunities, and support go-to-market strategies for revenue growth and client experience improvement.
Minimum Requirements
- Bachelor's degree with 3+ years or Master's degree with 2+ years experience in data analytics.
- Experience solving business problems related to sales/marketing strategy optimization, pricing, client experience, cross-sell, or retention, preferably in financial services.
- Proficiency in Python or R, PySpark, Hive; ability to manipulate data from big data environments; strong analytical skills.
- Work Experience Required: 3+ years with Bachelor's or 2+ years with Master's in data analytics.
Ideal Candidate Profile
- Experienced in predictive modeling and leveraging NLP on unstructured data to extract business value.
- Skilled at using a variety of analytical tools including Python, PySpark, Hive, Excel, and PowerPoint in a matrix organizational environment.
- Able to synthesize complex data into actionable insights for multiple business functions (Product, Pricing, Sales, Client Experience).