Actuarial Analyst

2+ years of analytical experience with extensive use of Excel. Comfort with data and quantitative/analytical skills. Ability to balance multiple priorities and manage time effectively. Comfort explaining and presenting technical solutions to non-technical stakeholders. Completion of 4+ preliminary actuarial exams and pursuing ASA/ACAS designation. Bachelor’s degree. Experience with SQL and Python (bonus). Experience working with standard healthcare data formats (nice-to-have). Experience in building BI dashboards using tools such as Looker or Tableau (nice-to-have).

Perform actuarial and claims analyses to quantify program value and uncover growth opportunities. Deliver standardized financial and clinical outcome reporting for customers. Automate workflows, enhance documentation, and champion best practices across Google Sheets/Excel, Looker, BigQuery, and dbt. Build, validate, and iterate financial models in collaboration with senior actuaries and data scientists. Partner with Commercial and Advanced Analytics & AI team on projects to streamline processes and scale insights. Handle stakeholder and client inquiries regarding data and models. Present findings and answer actuarial and analytics questions on customer calls.