Data Analyst IV: Insights, Optimization & Power BI

CorVel Corporation; Portland (OR); On-site; USD 80,000 - 115,000; Full time

Job summary

CorVel Corporation in Portland, Oregon, is seeking a Data Analyst who can perform data analysis to identify bottlenecks, define optimization opportunities, and support data‑driven decisions. You will collect business intelligence data from internal warehouses using MS SQL SMS, apply statistical methods, and analyze with Power BI, Excel, and Disco to forecast project KPIs and profitability.

Collaborate with stakeholders to pinpoint pain points, share actionable insights, and manage data‑analytics

Qualifications

• 4 years of experience as a Data Analyst or in a related position providing stakeholders with data analytics to support recommendations/decisions and track progress.
• Experience with statistical methods and tools including correlation analysis, regression analysis, predictive modeling, and Power BI.
• Statistical project models depicting current trends and forecasting project KPIs, Net Revenue, Distribution, Profit (NOPBT) and market share.

Responsibilities

• Perform data analysis to identify bottlenecks, define optimization opportunities, and support data-driven decisions.
• Collect business intelligence data from internal data warehouses using MS SQL SMS and perform testing and validation of data sets.
• Analyze data using statistical methods and corresponding tools and communicate results to stakeholders.

Skills

Data analysis

Statistical methods

SQL

Power BI

Disco

Tools

MS SQL

Excel

Power BI

Disco

Azure DevOps

Job description

CorVel Corporation in Portland, Oregon, is seeking a Data Analyst who can perform data analysis to identify bottlenecks, define optimization opportunities, and support data‑driven decisions. You will collect business intelligence data from internal warehouses using MS SQL SMS, apply statistical methods, and analyze with Power BI, Excel, and Disco to forecast project KPIs and profitability.

Collaborate with stakeholders to pinpoint pain points, share actionable insights, and manage data‑analytics