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Chief Data Strategist

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Job Description

We are seeking a highly skilled Data Analyst to join our team. As a key member of the analytics department, you will play a critical role in uncovering business value from data and driving strategic decision-making.

Working closely with our digital, marketing, analytics, and operations teams, you will analyze investor and partner data, build predictive models, and develop actionable insights to inform business strategy.

  • Key Responsibilities:
  • Analyze investor behavior and distribution partner data to identify trends and opportunities for growth.
  • Develop models for investor segmentation, churn prediction, and customer lifetime value estimation.
  • Measure campaign effectiveness, optimize targeting strategies, and enhance personalization through data-driven insights.
  • Implement text mining and sentiment analysis on investor feedback, social media, and complaint data.
  • Ensure data accuracy, security, and compliance with regulatory requirements.

Required Skills & Qualifications

  • 6-8 years of experience in data science, analytics, or risk modeling in the financial services sector.
  • Excellent proficiency in advanced Excel.
  • 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), Good to have ensemble methods: Random Forest, Gradient Boosting, NLP & Text Mining-Sentiment Analysis, Fuzzy, String Matching etc.

Benefits

  • 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.

Others

  • 6+ years of experience in data science, analytics, or risk modeling in the financial services sector.
  • Experience building Investor behavior models, early warning systems, and propensity model.