
Data Analyst Professional
7 hours ago
We are seeking a skilled data professional to derive business value from large datasets.
Key Responsibilities:
- Analyze investor and partner data to uncover trends and patterns.
- 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.
- Design dashboards and reports to provide actionable insights.
Required Skills and Qualifications:
- 6-8 years of experience in data science, analytics, or risk modeling.
- Excellent Advance Excel skills.
- Programming knowledge of Python, R, SAS.
- Databases: SQL Server, MongoDB.
- Visualization: R-Shiny, Power BI, Excel.
- Machine Learning & Statistical Techniques.
Preferred Skills:
- Ensemble methods: Random Forest, Gradient Boosting, NLP & Text Mining-Sentiment Analysis.
- Fuzzy, String Matching.
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