
Senior Data Insights Analyst
1 week ago
We are seeking an experienced Data Science professional who can drive business outcomes through data-driven insights.
Key Responsibilities
- Analyzing investor and distribution partner data to identify trends and opportunities, developing predictive models for segmentation, churn prediction, and customer lifetime value estimation.
- Measuring campaign effectiveness, optimizing targeting strategies, and enhancing personalization, while supporting the team with automation, early warning signals, and fraud detection models.
- Implementing text mining and sentiment analysis on investor feedback, social media, and complaint data, designing dashboards and reports in collaboration with the MIS team to provide actionable insights.
- Maintaining data accuracy, security, and compliance with regulatory requirements.
Required Skills and Qualifications
- 6-8 years of experience in data science, analytics, or risk modeling in the financial services sector.
- Excellent programming skills in Python, R, SAS (Enterprise Guide, E-Miner, VIYA).
- Experience with databases: SQL Server, MongoDB.
- Visualization skills: R-Shiny, Power BI, Excel.
- Strong understanding of machine learning & statistical techniques, regression (linear, logistic), and ensemble methods.
Benefits
- Potential for career growth and professional development.
- A collaborative and dynamic work environment.
Others
- A strong background in automating data pipelines, web scraping, and predictive analytics.
- The ability to translate complex data insights into clear business strategies.
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