About the role

  • Data Analyst at WCIRB leveraging SQL, R or Python to support California’s workers’ compensation system. Assisting with analytics to provide insights in medical cost trends and classification.

Responsibilities

  • Assist with the implementation of medical and classification analytics projects through:
  • 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
  • Assisting with statistical analyses (e.g., hypothesis testing, regression analysis, predictive modeling) to answer key research questions
  • Developing data visualization to effectively highlight trends and patterns
  • Preparing 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
  • Develop and maintain automation of routine analysis data and reporting tasks, including annual and quarterly medical benchmarking reports
  • Interact and communicate with representatives of other units of the WCIRB on various analytics-related and operational projects and issues.

Requirements

  • Bachelor’s Degree or above in a quantitative field such as statistics, economics, data science, computer science or other related field
  • A minimum of two years of SQL, R or Python programming experience in a Data Analyst or equivalent role, or through coursework
  • Demonstrated knowledge of the U.S. healthcare system, U.S. industry classifications or property/casualty insurance obtained through work or internship experience
  • 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
  • Experience with statistical modeling (e.g., regression analysis), text analytics, geospatial data or predictive modelling
  • Experience 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.

Benefits

  • Hybrid work environment (40% onsite 60% remote)
  • Medical, dental and vision benefits
  • Competitive PTO Program
  • Wellness benefits
  • 401K and pension plan
  • Social activities
  • Community volunteer involvement

Job title

Data Analyst

Job type

Experience level

JuniorMid level

Salary

$102,000 - $105,000 per year

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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