Berkley Enterprise Risk Solutions is part of the Berkley Insurance Company.  Berkley Enterprise Risk Solutions provides tailored workers’ compensation programs to large employers whose cost of insurance is material to their overall financial performance.

 

Company URL:      www.berkleyenterpriserisk.com

 

The company is an equal opportunity employer.

Join our innovative California workers' compensation insurance team as an entry-level Data Analytics Engineer. This role focuses on creating automations and operational efficiencies to support strategic and transformational initiatives. Working within our small, flat organization, you'll collaborate directly with department leaders and technical experts to implement data-driven solutions that enhance capacity across all team members.

 

Key functions include but are not limited to:

• Design and implement automated workflows to streamline operational processes across multiple departments
• Build and optimize ETL pipelines for specialized insurance datasets
• Create Power BI dashboards
• Develop automated reporting systems for compliance requirements
• Assistant the data science team with model creation, design, and maintenance
• Collaborate with various departments to identify and implement automation opportunities
• Improve existing data processing and analysis workflows

• Bachelor’s degree in Computer Science, Data Science, Statistics, or related field
• Intermediate/ advanced programming knowledge (Python, SQL, or similar languages)
• Experience with Git
• Basic commercial insurance knowledge
• Worker’s compensation data structure experience a plus

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: $65,000 - 95,000 annually
• Annual Bonus Eligible
• 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 not Offered for this Role