Assistant Manager – Data Analytics – R/ R Shiny– (3+ Years)
An excellent opportunity for an individual holding an overall 3-6 years of progressive experience on mining large complex data sets, using a variety of advanced quantitative/modelling techniques. The profile is ideal for a person holding an experience in designing, developing, testing and deploying visually appealing and easy-to-use dashboards and visualizations using R Shiny, following best practices and standard guidelines.
Location –Mumbai/ Pune
Your Future Employer: One of the Fortune 100 firms headquartered in New York city with businesses in insurance brokerage, risk management, reinsurance services, talent management etc.
Assembling large, complex sets of data Identifying, implementing internal process improvements including optimizing data delivery and automating manual processes
Gathering, analyzing and modelling data using analytical tools and techniques to develop business insights to drive decisions.
Understanding the standard deliverables of the team and delivering them within specific timelines along with maintaining process documentation.
Possessing strong data visualization abilities to communicate the insights from data
Bachelor’s degree in Engineering / Analytics or Master’s Degree in Statistics/Computer Applications/ IT/Analytics /any discipline related to Data Science / Analytics.
3-6 years of progressive experience mining large complex data sets, using a variety of advanced quantitative/modelling techniques.
Technical expertise with data models, data mining, and segmentation techniques
Intermediate to advance excel skills
Intermediator coding experience in R and advance analysis.
Good to have hands on experience in designing, developing, testing and deploying visually appealing and easy-to-use dashboards and visualizations using R Shiny, following best practices and standard guidelines.
Experience of working with large data for data transformation
Keenness and urgency to learn about the Marsh and the business unit’s business, and insurance industry in general
What is in it for you?
Grow in culture focused on training and mentoring
Work in a fast-paced environment in an established brand
If you think you are perfect fit for this role, kindly drop me an email along with your updated CV at email@example.com.
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Profile Keywords- Data analytics, data analysis, R. R shiny, Advance Analysis, Data Transformation, Data mining.