CLARA Analytics · 17 hours ago

Actuarial Analyst

United States

Full-time

Remote

Entry Level

$125K/yr - $150K/yr

1+ years exp

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Responsibilities

Become a subject matter expert on one or more lines of property-casualty insurance business and CLARA’s platform-product value proposition and ROI methodology within those lines.

Develop and maintain a deep understanding of CLARA's data ecosystem, including data sources and data science models (AI/ML predictive models, cohort and benchmarking, etc.). Proactively identify data quality issues, troubleshoot data discrepancies, and work towards data governance and data quality improvement initiatives for internal reporting purposes

Perform data analysis and extract insights from multiple data sources, internal and industry, to identify trends, patterns, and opportunities for product and data science model improvement

Understand, modify, and operate complex spreadsheets and database tools to analyze data and solve problems

Writing and running programs to extract data for review and report compilation.

Receive, organize, and review data in preparation for analysis and checking the data for consistency

Present findings to product, technical and client facing peers, executive leaders, and clients

Collaborate and support leaders in individual functions with self-service dashboards and reports

Design and develop visually appealing and user-friendly dashboards, reports, and visualizations on an ad hoc or recurring basis

Draft written reports and exhibits, and prepare other internal/external correspondence

Assist with additional ad-hoc reports and analyses.

Qualification

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Actuarial ScienceData AnalysisSQLPythonData VisualizationMS OfficeVBASASETL ToolsCloud DatabasesTableauPower BI

Required

Bachelor's degree in a STEM major or with STEM coursework learned in associated majors (Actuarial Science, Computer Science, Data Engineering, Data Science, Mathematics, Applied Mathematics, Statistics, Finance, Economics)

Data management skills or knowledge of insurance data management principles

Experience in quantitative and qualitative data analysis

Technical background should include a working knowledge of MS Office applications and understanding of computer programming / software development concepts

Quick learner who takes initiative to dive deeper and solve problems

Able to adjust on the fly, to accept new assignments or shift focus, and balance multiple concurrent projects

“Big picture” thinking to help anticipate client needs

Superb attention to detail and technical accuracy

Motivated to work independently and as part of a team

Excellent written and oral communication skills, including the ability to express or explain complicated technical concepts, to a variety of audiences