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1 day ago
We are looking for a skilled Data Analyst who can extract valuable insights from large datasets. In this role, you will work closely with our Digital, Marketing, Analytics teams to analyze investor and partner data, build predictive models, and provide actionable recommendations.
Responsibilities- Analyze investor behavior and distribution partner data to uncover trends and opportunities.
- Develop models for investor segmentation, churn prediction, and customer lifetime value estimation.
- Measure campaign effectiveness, optimize targeting strategies, and enhance personalization.
- Implement text mining and sentiment analysis on investor feedback, social media, and complaint data.
You will be responsible for ensuring data accuracy, security, and compliance with regulatory requirements.
Requirements- 6-8 years of experience in data science, analytics, or risk modeling in the financial services sector.
- Excellent skills in Advanced Excel.
- Programming knowledge of Python, R, SAS (Enterprise Guide, E-Miner, VIYA).
- Databases: SQL Server, MongoDB.
- Visualization: R-Shiny, Power BI, Excel.
We are looking for a candidate with a strong understanding of investor behavior, digital customer journeys, and financial product analytics.
Benefits- Hands-on experience in automating data pipelines, web scraping, and predictive analytics.
- Able to translate complex data insights into clear business strategies.
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