Data Analytics Specialist

2 days ago


Dindigul, Tamil Nadu, India beBeeData Full time ₹ 1,00,00,000 - ₹ 2,00,00,000

Unlock Data Insights and Drive Business Growth

About the Role

We are seeking a highly skilled Data Analyst to join our team. As a key member of our analytics department, you will be responsible for uncovering business value from data by analyzing investor behavior, building predictive models, and implementing data visualization techniques.

The ideal candidate should have experience in machine learning, statistical modeling, and data visualization with a strong understanding of financial services, customer behavior analytics, and risk modeling.

Responsibilities
  1. Analyze investor behaviour and distribution partner data to uncover trends and opportunities. Develop models for investor segmentation, churn prediction, and customer lifetime value estimation.
  2. Measure campaign effectiveness, optimize targeting strategies, and enhance personalization. Support the team with automation, early warning signals, and fraud detection models.
  3. Implement text mining and sentiment analysis on investor feedback, social media, and complaint data. Design dashboards and reports in collaboration with the MIS team to provide actionable insights.
  4. Ensure 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 (mutual funds, banking, lending).
  • Excellent programming knowledge of Python, R, SAS (Enterprise Guide, E-Miner, VIYA).
  • Databases: SQL Server, MongoDB.
  • Visualization: R-Shiny, Power BI, Excel.
  • Machine Learning & Statistical Techniques: Regression (Linear, Logistic), ensemble methods (Random Forest, Gradient Boosting, NLP & Text Mining-Sentiment Analysis, Fuzzy, String Matching).
Bonus Points
  • Strong understanding of investor behavior, digital customer journeys, and financial product analytics.
  • Hands-on experience in automating data pipelines, web scraping, and predictive analytics.
  • Ability to translate complex data insights into clear business strategies.


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