Data Analyst at ilem optimizing data validation and billing processes in a multidisciplinary team. Contributing technical expertise and documentation for financial automation projects.
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
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