Statistical Modeller
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Key Accountabilities & Decision Ownership:

 

  • Building Analytics Products & Solutions, primarily on the Marketing side: Scorecards including Cross Sell/ Up Sell, Response & Propensity Models, Marketing Mix Models.
  • Interact with various teams including primarily the Marketing, Sales & Product teams, understand the problem areas that need to be analyzed. The analysis have to be data driven, bringing insights & actionable for the key stakeholders.
  • Proactive Statistical analysis of the customer data, including Segmentation & Cluster analysis.
  • Identify new opportunities & business trends (Application & Portfolio Analysis), using Statistical Tools & Techniques.
  • Generation of actionable customer insights leading to identification of new revenue opportunities, creation of new products/processes and services.
  • Incorporate structured & unstructured data (in-house and third party data) & building analytical solutions using Statistical modeling, machine learning, data mining techniques.
  • Implementation of new analytics systems / enhancing the existing ones.
  • Building new Analytics capabilities including Digital Analytics- Sentimental Analysis etc.
  • Open to learning new Analytical tools and techniques.

 

Background:

  • B.Tech/M.Tech
  • B.Stats/M.Stats
  • MSc (Statistics / Economics)
  • Knowledge of statistical techniques such as OLS, Logistic/Linear regression, CHAID, Cluster, Factor Analysis and advance analytical techniques such as Neural network, random forest, gradient boosting, Markov-Chain etc.
  • Hands on knowledge in statistical tools SAS, R, SPSS, SQL, Python, Machine Learning, etc.
  • Proficiency in R & SAS

 

Relevant Work Exp:Analytics experience of 1-7 years (BFSI Domain- Marketing Analytics, preferably Insurance Domain)

 

 
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