Understanding of PC insurance marketing/ Campaign working understanding
Participate in moderately complex initiatives to deliver insights by converting the business problem into analytical format
Programming, reporting the finding, using end results to contribute to large scale planning and process to create decision strategy
Generate campaign and project performance reports with ability to understand marketing concept
Data Analytics:
Ability to do end to end programming in python/SAS to extract the results as required by the problem at hand.
Review and analyze complex data aggregations
Ability to self-check and QC the end results in line with changing requirements and modifications. well versed in EDA
ML techniques :
Knowledge of Modelling based on large set of variables from varied sources
Understanding and working knowledge of statistical and Machine learning techniques
Education: Master s in Statistics/Economics/MBA, Engineering
Experience: 0-3 years of experience Machine Learning, Data Modelling, Programming with SAS/Python.
Technical Skills: Python for data analytics and modeling, Machine Learning Techniques
Marketing Analytics Domain Understanding:
Understanding of PC insurance marketing/ Campaign working understanding
Participate in moderately complex initiatives to deliver insights by converting the business problem into analytical format
Programming, reporting the finding, using end results to contribute to large scale planning and process to create decision strategy
Generate campaign and project performance reports with ability to understand marketing concept
Data Analytics:
Ability to do end to end programming in python/SAS to extract the results as required by the problem at hand.
Review and analyze complex data aggregations
Ability to self-check and QC the end results in line with changing requirements and modifications. well versed in EDA
ML techniques :
Knowledge of Modelling based on large set of variables from varied sources
Understanding and working knowledge of statistical and Machine learning techniques
Job Classification
Industry: MiscellaneousFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full time