Assist in collecting, cleaning, and analyzing data using Excel, R, Python, SQL and Power BI
Support the development of analytical tools, reports, and dashboards
Automate recurring data and reporting processes
Assist with statistical analysis and modeling
Validate data, review results, and help ensure outputs are accurate and well-documented
Collaborate with your manager and colleagues to brainstorm ideas, solve problems, and achieve project goals

Requirements

Pursuit of a degree in a quantitative field such as Actuarial Science, Mathematics, Data Science or related discipline
Prior coursework or work experience involving data analysis and/or modeling
Initiation in the Casualty Actuarial Society exams a plus
Insurance knowledge or experience a plus
Working knowledge of Excel and at least one scripting language (R, Python, SQL)
Ability to work with large datasets and strong attention to detail
Comfort learning new tools and concepts in a fast-paced environment
Ability to manage tasks independently while working as part of a team

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analysisstatistical analysisdata modelingdata cleaningdata validationExcelRPythonSQLPower BI

Soft Skills

attention to detailproblem-solvingcollaborationindependent task managementadaptability

Certifications

Casualty Actuarial Society exams