Data Analytics Engineer
W. R. Berkley Corporation9 days ago
San Diego, CA, USAMid Level / Senior
Base Salary
$117k - $139k/yr
Responsibilities
- Own, maintain, and enhance the actuarial sandbox datamart, including architecture, permissions, documentation, and new data-source integration.
- Lead data stewardship activities including validation, reconciliation, QA/QC, auditing, root-cause analysis, and remediation.
- Automate data pipelines, reporting workflows, and analytical processes using SQL, Python, R, Power BI, Databricks, or comparable tools.
- Design and maintain curated analytical datasets, Power BI semantic models, dashboards, recurring reports, and monitoring tools.
- Partner with actuarial staff on predictive modeling, segmentation, KPI development, model monitoring, and analytical solution implementation.
- Serve as the actuarial department’s liaison for enterprise data platform initiatives, including requirements gathering, testing, issue resolution, implementation, and adoption.
- Translate business questions into data requirements, analytical approaches, and practical recommendations.
- Coordinate contractor work and knowledge transfer while establishing standards for development, version control, testing, documentation, deployment, and maintenance.
- Communicate priorities, status, risks, dependencies, and recommended actions across multiple recurring and ad hoc initiatives.
Requirements
- 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.
- 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 with Databricks, cloud data platforms, or comparable data environments.
- Property and casualty insurance or workers’ compensation experience is preferred.
- Experience coordinating contractors, vendors, or technical workstreams is preferred.
Benefits
- Hybrid work environment based in the San Diego, California office.
- Full-time regular employee benefits include health, dental, vision, life, disability, wellness, paid time off, 401(k), and profit-sharing plans.
About W. R. Berkley Corporation
W. R. Berkley Corporation is a public insurance holding company that sells commercial property‑casualty coverage and insurance‑related services to businesses. Its operating units focus on primary insurance, reinsurance, and monoline excess products tailored to industry niches and regional markets. Founded in 1967 and headquartered in Greenwich, Connecticut, the company trades on the NYSE (WRB) and operates worldwide; subsidiaries include Berkley Technology Services, which supports core systems for its insurance businesses.