Data Analyst II

CorVel Corporation is a national provider of risk management solutions for workers’ compensation, auto, health, and disability management industries. The Data Analyst II analyzes and interprets data to support tactical and strategic business decisions, develops data collection systems, identifies trends, and delivers reports and dashboards for complex business problems.

Responsibilities:

• Provides strategic and tactical support to the organization by analyzing and interpreting data to provide creative solutions
• Develops and implements data collection systems and other strategies that optimize statistical efficiency and data quality
• Analyzes results of collected data using statistical techniques and provides ongoing reports
• Identifies, analyzes and interprets trends or patterns in complex data sets
• Supports end-to-end analysis development, management and delivery
• Interfaces between various business and technical teams to understand context and business value in data
• Works closely with internal customers to build relationships; continuously gaining a deeper understanding of relevant data and processes to build analytic solutions to meet business needs
• Produces dynamic, meaningful, clear and informative reports and dashboards using standard business intelligence tools to help executive management solve highly complex problems
• Additional projects and duties as assigned

Requirements:

• Mathematics, statistics and data analysis
• Excellent written and verbal communication skills
• Ability to find resources and data both within the organization and external to it
• Ability to understand business objectives and passion for gleaning information and insights from data to help the team achieve them
• Strong computer proficiency and technical aptitude
• Strong analytical skills with the ability to collect, organize, analyze and disseminate significant amounts of information with attention to detail and accuracy
• Strong interpersonal, time management and organizational skills
• Ability to work both independently and within a team environment
• Bachelor's degree
• 2-5 years of experience with data analysis
• Familiarity with standard statistics and business intelligence tools (e.g. Excel, SPSS, SAS, Tableau, Chartio, etc.)
• Familiarity with standard reporting packages (i.e. Business Objects), databases (SQL Server, SSIS), programming (SML, JavaScript, or ETL frameworks)
• Exposure to data models, database design development, data mining and segmentation techniques
• preferably in a quantitative field