Job Location: Gurgaon
Role Overview :
– Research, analyze, and present data as assigned.
– Develop statistical models most likely forecasting models in SAS
– Provide Business recommendations using insurance Distribution business knowledge and Modeling outcomes
– Able to identify and explain deviation in normal trends and data anomalies
– Develop detailed codes for data preparation and model scoring to be used in production.
– Prepare detailed documentation of models and make oral presentations to team lead.
– Run weekly, monthly reports as part of BAU work
– Assist in learning and development of new team members.
– Critically examine and deep dive into models.
– Identify and participate in continuous improvement initiatives.
– Ensure compliance with Data Privacy and Protection Guidelines.
Responsibilities :
– Complete understanding of the current state of affairs and problem statement
– Experience in data extraction and data manipulation in SAS.
– Good experience with Excel
– In-depth data analysis like identifying major trends, univariate and bi-variate analysis.
– Importing, merging and appending different datasets, joins in SAS.
– Complete understanding of SAS functions like- Procedures and SAS macros
– Building forecasting models in SAS
– Experience in data control and data automation.
– Knowledge of insurance domain (preferably)in marketing/customer/distribution analytics.
– Good written and verbal communication skills
Candidate Profile :
– Bachelor- s/Master’s degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply
– 4+ years- experience in data analytics (modelling), preferably in insurance.
– Strong and in-depth understanding of statistical concepts.
– Data analysis experience and model development experience.
– Good analytical and problem solving skills.
– Outstanding written and verbal communication skills.
– Able to work in fast pace continuously evolving environment and ready to take up uphill challenges.
– Is able to understand cross cultural differences and can work with clients across the globe.
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