- 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