Business Analytics Analyst - Python, PySpark
Citi (company site, opens in a new tab)3+ yrsGurugramOn-siteDirect career pageEst. 12–20 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Perform analytics on multiple business problems across client acquisition, engagement, experience, and retention for the Treasury & Trade Services (TTS) business.
- Leverage diverse data sources including client profiles, transactions, digital data, and unstructured data like call transcripts to generate data-driven insights for stakeholders.
- Develop and apply predictive modeling, NLP techniques, and big data analytical tools (Python, PySpark, Hive) to support sales, marketing strategy optimization, pricing, cross-sell, and client retention initiatives.
Minimum Requirements
- Bachelor’s Degree with 3+ years or Master’s Degree with 2+ years in data analytics.
- Experience solving business problems related to sales/marketing strategy, pricing optimization, client experience, cross-sell, or retention, preferably in financial services.
- Proficiency in Python, PySpark, and Hive; ability to manipulate big data environments.
- Experience working with structured and unstructured data including text data and applying predictive modeling and NLP techniques.
Ideal Candidate Profile
- Experienced data analyst skilled at transforming complex business problems into analytical frameworks within financial services or related domains.
- Hands-on expertise in big data tools and programming (Python, PySpark, Hive) for extracting actionable insights from varied data sources including unstructured data.
- Capable of delivering measurable impact on commercial and client experience metrics through predictive analytics and strategic insights.