Actuarial Business Analyst

December 27, 2024

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Logo of CLARA Analytics

CLARA Analytics

workers'​ compensation • occupational injuries • insurtech • data science • predictive analytics

51 - 200 employees

Founded 2016

🤖 Artificial Intelligence

☁️ SaaS

Description

• Responsible for performing various levels of analysis related to client work. • Reviewing data in preparation for analysis, checking data for errors and consistency. • Drafting reports and maintaining documentation. • Presenting findings to product, technical and client-facing peers, executive leads, and clients. • Collaborating and supporting leaders with self-service dashboards and reports. • Designing and developing visually appealing and user-friendly dashboards, reports, and visualizations on an ad hoc or recurring basis. • Assisting with additional ad-hoc reports and analyses.

Requirements

• 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) • 1-3 years of Property-Casualty insurance work experience preferred. • Passing of at least one actuarial exam is preferred. • Commitment to attainment of an insurance professional designation (ACAS, CPCU, AIDM), or of a technology or project management designations • Data management skills or knowledge of insurance data management principles is a plus. • Experience in quantitative and qualitative data analysis. • Some familiarity with insurance coverages, actuarial methodologies and quality control. • Technical background should include a working knowledge of MS Office applications and understanding of computer programming / software development concepts. • Knowledge of SQL, VBA, SAS, R, Python, ETL tools or Business Rules Engines is a plus, as is fluency in cloud databases and workflow scripts (e.g. Jupyter Notebooks). • Background experience in Tableau, Power BI, ThoughtSpot, Spotfire, COGNOS, or other data visualization software would be advantageous.

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