Marketing Analytics Analyst - Python, SQL and Machine Learning
Citi (company site, opens in a new tab)5–8 yrsPuneHybridDirect career pageEst. 16–30 LPA
Posted on 17 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead multiple analytics projects focused on client life cycle stages such as acquisition, engagement, retention, and client experience for the Treasury & Trade Services business.
- Develop predictive models and data-driven insights using multiple analytical methodologies, big data tools, and machine learning algorithms to support sales, marketing strategy optimization, pricing, and cross-sell initiatives.
- Work with diverse data sources including client profiles, transaction data, digital data, and unstructured data like call transcripts to deliver actionable insights to business and functional stakeholders.
Minimum Requirements
- Bachelor’s degree with 5-8 years or Master’s degree with 4-8 years in data analytics; PhD holders may also qualify.
- Mandatory experience in marketing analytics with focus on sales/marketing strategy optimization, pricing optimization, client experience, cross-sell, and retention.
- Proficiency in Python or R, SQL, and Hive with experience in predictive modeling using machine learning and analysis of unstructured data via NLP or text mining.
- Work Experience Required: 4-8 years in data analytics, with specific marketing analytics exposure.
Ideal Candidate Profile
- Experienced in applying diverse analytical methods such as hypothesis testing, segmentation, time series forecasting, and test vs. control comparisons in a business context.
- Capable of handling big data environments and combining structured and unstructured data sources for comprehensive insights.
- Skilled in translating complex business problems into analytical solutions and communicating outcomes effectively to management and stakeholders.