Business Analytics with Gen AI
Citi (company site, opens in a new tab)5–8 yrsKarnatakaOn-siteDirect career pageEst. 18–28 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end execution and optimization of customer campaign programs across wealth products using SQL, PySpark, and Python.
- Develop and maintain automated performance analytics, experiment frameworks, and interactive dashboards to drive campaign lift and ROI.
- Enable AI-assisted workflows including GenAI-powered code acceleration, Text-to-SQL tools, knowledge base curation, and automated campaign insights summarization.
Minimum Requirements
- Bachelor’s degree in Computer Science, IT, Engineering, Statistics, Mathematics, Economics, or related quantitative field.
- 5–8 years experience in Campaign Analytics, Marketing Analytics, Business Intelligence, or Customer Data Operations within Banking/Financial Services (Wealth Management or Retail Banking preferred).
- Proficient in SQL, PySpark, Python, and experienced in campaign performance diagnostics and optimization.
- Experience with Git/GitHub for version control and building interactive dashboards in Tableau or Power BI.
Ideal Candidate Profile
- Experienced in wealth management or financial services marketing campaigns with strong technical hands-on skills in data pipelines and analytics.
- Skilled in leveraging GenAI tools, prompt engineering, and AI-assisted coding to improve data workflows and campaign execution.
- Detail-oriented with expertise in data governance, compliance controls, and managing multi-channel campaign delivery calendars.