Power BI & Data Analytics Analyst

North Carolina State University; Raleigh (NC); On-site; USD 70,000 - 80,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Retirement plans

Paid leave and tuition assistance

Wellness programs

Job summary

North Carolina State University is seeking a Business Intelligence Analyst to support University Data and Analytics by developing, documenting, and maintaining data products such as dashboards and reports for leadership and the NC State community.

The analyst handles full enterprise data lifecycles, ensures data quality, and provides end-user training through documentation and materials. This role collaborates across departments to improve analytical offerings and user experiences.

Qualifications

• Master's degree or Bachelor's with up to 2 years of experience in a relevant field.
• Experience in higher education data analytics is preferred.
• Power BI certification is a plus.

Responsibilities

• Identify information needs and develop analytical solutions including datasets, reports, dashboards, and visualizations.
• Work across teams to gather requirements and enhance existing analytical products.
• Automate and streamline data management and analytical processes.
• Create high-quality documentation, training materials, and assist end-users of data products.
• Perform data validation, quality reviews, and UI/UX quality assurance on analytical tools.

Skills

SQL

Power BI

Power Query

DAX

Data visualization

Data analysis

Documentation

Training & Support

UI/UX QA

Education

Master's degree or Bachelor's degree with up to 2 years of experience

Tools

Google Workspace

Adobe Creative Suite

ClipChamp

Job description

North Carolina State University is seeking a Business Intelligence Analyst to support University Data and Analytics by developing, documenting, and maintaining data products such as dashboards and reports for leadership and the NC State community.

The analyst handles full enterprise data lifecycles, ensures data quality, and provides end-user training through documentation and materials. This role collaborates across departments to improve analytical offerings and user experiences.