Data Science

On-siteMidData Analystposted 6mo ago

✦Role summaryAI-generated

This role focuses on translating marketing challenges in P&C insurance into actionable insights using Python/SAS, with a strong emphasis on campaign performance analysis and data-driven decision-making. The candidate will work on moderately complex initiatives, ensuring data quality and generating reports to support large-scale planning and strategy.

Skills required

Python SAS Marketing analytics Eda Campaign performance analysis Data aggregation Business problem translation Qc analysis Reporting Insurance marketing Data analytics Machine learning Statistics Data modeling

About this role

Marketing Analytics Domain Understanding:
- Understanding of P&C 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

Responsibilities

Marketing Analytics Domain Understanding:
- Understanding of P&C 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

Qualifications

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

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