Data Analyst I – Business Insights & Reporting
Hybrid, Remote
US/Canada
Posted 2 weeks ago
This is a full-time Data Analyst I role at CorVel, focused on turning data into actionable insights to inform decisions and drive profit across multiple departments. This entry-level position involves performing basic analysis, reporting, and supporting senior team members in building complex analytical solutions.
- Location: Irvine, CA, USA (open to remote or hybrid).
- Pay Range: $65,436 – $98,982 annually.
- Experience: 1–2 years of experience with data analysis.
- Education: College degree, preferably in a quantitative field (or equivalent experience).
- Focus: Basic data cleaning and analysis, supporting executive reporting, gaining a deeper understanding of business data, and solving business challenges.
Essential Functions & Responsibilities
The analyst will be responsible for foundational data work and supporting the broader analytics goals of the company.
- Data Analysis & Cleaning: Performs basic data cleaning, analysis, and reporting under the direction of management and senior team members.
- Reporting & BI: Analyzes results using statistical tools and provides ongoing reports. Assists senior team members with producing dynamic, meaningful, and clear reports and/or dashboards using standard business intelligence tools.
- Business Partnership: Works closely with internal customers to build relationships and continuously gain a deeper understanding of relevant data and processes to build analytical solutions that meet business needs.
- Documentation: May assist with report development, specification design, and the facilitation of report testing.
Required Knowledge & Skills
The role requires fundamental skills in SQL, business intelligence tools, and programming.
- SQL: Basic proficiency in SQL is required, including the ability to retrieve data using select, where, from queries, and understand basic high-level relational database concepts like joins.
- BI & Tools:
- Basic Power BI understanding and proficiency is required.
- Strong Microsoft Excel skills.
- Programming: Familiarity with at least one programming language is required, such as R, STATA, MATLAB, Python, etc.
- Analytical Skills: Strong analytical skills with the ability to collect, organize, analyze, and disseminate information with attention to detail and accuracy.
Job Features
| Job Category | Business services, Data, Information Technology |