
ROLE DESCRIPTION:
- The role will report to the AVP/VP leading the team
- The role will involve working on multiple analyses through the year on business problems across the client life cycle acquisition, engagement, client experience and retention .
- This will involve leveraging multiple analytical approaches, tools and techniques, working on multiple data sources (client profile & engagement data, transactions & revenue data, digital data, unstructured data like call transcripts etc.) to provide data driven insights to business and functional stakeholders
Experience:
Must have:
- Marketing analytics experience
- Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc.
- Predictive modeling using Machine Learning
Good to have:
- Experience in financial services
- Digital Marketing and/or Digital Experience domain knowledge
- Experience with unstructured data analysis, e.g. call transcripts, using Natural language Processing (NLP)/ Text Mining
Skills:
Analytical Skills:
- Proficient in formulating analytical methodology, identifying trends and patterns with data
- Has the ability to work hands-on to retrieve and manipulate data from big data environments
Tools and Platforms:
- Proficient in Python/R, SQL
- Experience in PySpark, Hive and Scala
- Proficient in MS Excel, PowerPoint
Good to have:
- Experience with Tableau
Soft Skills:
- Strong analytical and problem-solving skills
- Excellent communication and interpersonal skills
- Be organized, detail oriented, and adaptive to matrix work environment
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