"Senior Data Analyst - Curriculum Analytics"

Job Description

Want to use your data skills to improve how thousands of students learn?

At WGU, data drives decision-making-from course design to student support. As a Senior Data Analyst on our Curriculum Analytics team, you'll build tools, analyses, and visualizations that uncover what's working and what's not-so our students get what they need, when they need it.

About the Curriculum Analytics Team

We use WGU's rich data assets to track curriculum performance, identify equity gaps, and support continuous improvement. Our focus is clear: help learners progress with confidence. We combine statistical rigor with meaningful impact-and believe every insight should lead to action.

Senior Data Analyst Role

The IAR Senior Data Analyst is responsible for extracting, processing, analyzing, and reporting on data to produce rigorous, actionable insights and research. They establish and maintain strong relationships with peers and leaders across IAR, Program Development, and Data Engineering. They perform ad hoc analyses, build and maintain standard reports and data visualizations, and deliver information and insights through various methods and media that privilege data storytelling and compress time-to-action.

What you'll do

• Analyze course-level performance to surface improvement opportunities and equity gaps
• Build dashboards and reports in Tableau or Power BI for internal academic and product teams
• Translate business and academic needs into clear technical requirements
• Use SQL to manage and extract insights from complex, multi-source data environments
• Partner with Data Engineering to resolve data quality issues and optimize pipelines
• Present findings to cross-functional teams and leadership, adapting to technical and non-technical audiences
• Document logic, sources, and insight history to support transparency and scale

What you bring

• Bachelor's degree in a related field
• 5+ years of experience in data analysis, institutional research, or applied analytics
• Expert SQL skills including joins, CTEs, aggregation, performance tuning, and data transformation
• Experience using Tableau or Power BI to build reports and identify patterns
• Working knowledge of forecasting methods and causal analysis
• Clear communicator who translates data into narratives that prompt action

Bonus if you have

• Experience with Python or R
• Familiarity with curriculum development, higher education, or learner success analytics
• Exposure to data management platforms (e.g., catalogs, dictionaries) and analytics documentation standards

Work Location

This is a full-time, in-office position at WGU's headquarters in Salt Lake City, UT. You'll work side-by-side with a multidisciplinary team of analysts, researchers, and educators committed to data-informed innovation.

Position & Application Details

Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time, regular position (classified for 40 standard weekly hours) that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave.

How to Apply: If interested, an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday.

Additional Information

Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at recruiting@wgu.edu.

Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.