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About
Responsible for executing the collection, storage, interpretation, and visualization of data for financial, business, and analytical solutions that help the organization achieve its long-term goals and objectives. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Analyze statistical data on large sets and identify trends by using advanced mathematical and computer science skills. Execute the production of statistical models, tools, and processes. Write programs to cleanse and integrate structured and unstructured data in an efficient and reusable manner. Evaluate modelling results and communicate the results to technical and non-technical audiences. Work with actuaries, analysts, and other stakeholders directly or indirectly to provide data, reporting, advanced analysis, and insights. Perform deep dives into a varying array of data sources, determining the appropriate data for the analysis to be performed, identifying potential uses, and preparing for analysis. Complete other projects as assigned. The requirements listed below are representative of the knowledge, skills, and/or abilities required to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Demonstrate strong technical and analytical abilities. Possess fluency in statistical programming in a language such as R or Python. Demonstrate proficiency with data mining, mathematics, statistical analysis, and predictive modeling. Able to look at things differently, debug, troubleshoot, design, and implement solutions to complex technical issues. Effectively interface with external contacts, Brotherhood employees, managers, and department staff members. List Degree Requirement, Years' Experience, and Certifications Must have a Bachelor's degree in Data Science, Computer Science, Statistics, or related discipline. Must have previous experience with Excel, SQL, and statistical programming languages (i.e. Python, R, SAS). One to three years of experience in Data Science related role is desired. Exposure to and understanding of the insurance industry is desired.
Languages
- English
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