Serve as the Actuarial department’s primary liaison for enterprise data platform initiatives, including requirements gathering, testing, issue resolution, implementation, and adoption.
Lead data stewardship activities, including data validation, reconciliation, QA/QC, auditing, root-cause analysis, and remediation of data integrity issues.
Automate data pipelines, reporting workflows, and repeatable analytical processes using SQL, Python, R, Power BI, Databricks, or comparable tools.
Perform business analytics that support underwriting, claims, finance, distribution, and product decisions.
Partner with actuarial staff on predictive modeling, segmentation, KPI development, model monitoring, and implementation of analytical solutions.
Translate business questions into clear data requirements, analytical approaches, and practical recommendations for technical and non-technical audiences.
Coordinate day-to-day work and knowledge transfer from the department’s data engineering contractor, including documentation of systems and processes.
Establish scalable standards for data development, version control, testing, documentation, deployment, and ongoing maintenance.
Manage multiple recurring and ad hoc priorities while communicating status, risks, dependencies, and recommended actions.
Proactively identify opportunities to improve data quality, reporting efficiency, analytical capability, and business decision support.
Design, develop, and maintain curated analytical datasets, Power BI semantic models, dashboards, recurring reports, and monitoring tools that serve as trusted sources for operational, actuarial, and executive reporting.
This role is based in our San Diego, CA office and offers a hybrid work environment.
Qualifications
Bachelor’s degree in data science, computer science, statistics, mathematics, actuarial science, engineering, or a related quantitative field.
3–5 years of relevant experience in analytics engineering, data engineering, business intelligence, or advanced analytics.
Property and casualty insurance or workers’ compensation experience is preferred.
Advanced proficiency in SQL and working proficiency in Python or R.
Experience building and maintaining automated data pipelines, analytical datasets, and reporting solutions.
Experience with Power BI, semantic models, dashboard development, and business intelligence solutions.
Demonstrated ability to lead analytics, reporting, automation, or data engineering projects.
Understanding of data quality, reconciliation, testing, and documentation practices.
Strong written and verbal communication skills with technical and non-technical audiences.
Ability to collaborate across departments and translate business needs into scalable data and analytical solutions.
Experience coordinating contractors, vendors, or technical workstreams is preferred.
Experience with Databricks, cloud data platforms, or comparable data environments.
Additional Company Details
We do not accept any unsolicited resumes from external recruiting agencies or firms. The company offers a competitive compensation plan and robust benefits package for full time regular employees which for this role include: • Base Salary Range: $117,000 – $139,000 annually • Benefits: Health, Dental, Vision, Life, Disability, Wellness, Paid Time Off, 401(k) and Profit-Sharing plans. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.
- Sponsorship Details
- Sponsorship not Offered for this Role
