For over a century, the Workers’ Compensation Insurance Rating Bureau of California (WCIRB) has been California’s trusted, objective provider of actuarially based information and research, advisory pure premium rates and educational services integral to a healthy workers’ compensation system. The WCIRB is a California unincorporated, private, nonprofit association comprised of all companies licensed to transact workers’ compensation insurance in California. The operations of the WCIRB are funded primarily by membership fees and assessments; no state money is used to fund its operations. The WCIRB is a stable company and a proven leader in the workers’ compensation insurance industry nationwide.
The WCIRB performs a number of functions to accurately measure the cost of providing workers’ compensation benefits and ensure a healthy workers’ compensation system. To learn more about our company, please visit About Us | WCIRB California. The WCIRB employs approximately 175 people with the average tenure of over 10 years. We are committed to fostering a healthy, safe and diverse work environment leading to a dedicated, collaborative and innovative workforce This is a hybrid position where approximately 40% of the work time is spent at the home office in downtown San Francisco.

EDUCATION, EXPERIENCE, AND SKILL QUALIFICATIONS

• Bachelor’s Degree or above in a quantitative field such as statistics, economics, data science, computer science or other related field.
• A minimum of four years of SQL, R or Python programming experience in a Data Analyst or equivalent role, or through coursework.
• A minimum of two years of professional experience with rating organizations, data analytic companies, property/casualty insurers, health insurers, managed care companies, consulting, and/or hospital systems.
• Strong proficiency in data wrangling, building functions and producing data visualization in R or Python.
• Track record of completed analytical projects in R or Python.
• Proficiency in statistical modeling (e.g., regression analysis), text analytics, geospatial data, or predictive modelling.
• Strong proficiency in working with relational databases, large data sets and multiple data sources.
• Ability to communicate both effectively and professionally, both verbally and in writing.
• Strong listening and interpersonal skills.
• Strong proficiency in Microsoft Office suite.

Assist with the design and implementation of medical and classification analytics projects through:

• Reviewing published data, information and studies on various research topics and contributing to study design.
• Independently developing well-documented and reproducible scripts in SQL, R or Python for pulling and wrangling data for the Analyst’s own work and for the use of research staff in studies or to address ad-hoc requests.
• Performing accuracy and reasonableness checks to assure quality of the working dataset is appropriate to each study.
• Communicating clearly to research staff the rules employed to prepare the working datasets for study.
• With limited directions, independently conducting exploratory analyses and statistical analyses (e.g., hypothesis testing, regression analysis, predictive modeling) to answer key research questions.
• Applying judgement and discretion in the analyses and in the production of reports and presentations.
• Exploring external data sources for specific research purposes and performing integration of diverse internal and external data sources, such as external code sets or policy data, to enhance analyses.
• Preparing well-formatted tables and figures to present analysis results in reports and presentations.
• Assuring analysis results are accurate following the Data Analytics team review protocol.
• Providing technical and peer review of other analysts’ work.
• Communicating results via written and oral presentations at internal and external meetings.
• Lead the development of automating routine analysis data and reporting tasks, including quarterly medical benchmarking reports.
• Provide training to data analysts and members of other actuarial and research teams on research protocols and team processes (if applicable).
• Participate in discussions with external agencies, working groups and research groups on medical and classification research.