Senior Data Analyst - Learning Program Analytics

If you’re passionate about building a better future for individuals, communities, and our country—and you’re committed to working hard to play your part in building that future—consider WGU as the next step in your career.

Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.

The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:
 

Grade: Professional 310

Pay Range: $88,300.00 - $132,400.00

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 Learning Program 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 Institutional Analytics and Research
The Institutional Analytics and Research (IAR) team supports and enables most university teams, departments, and colleges to make data-informed decisions that lead to better student outcomes. Our analysts, scientists, researchers, and managers are distributed across several teams: Institutional Research, Institutional Metrics & Insights, Outreach Analytics, Faculty Analytics, Learning Program Analytics, and Student Success Analytics.

About the Learning Program Analytics Team 
We use WGU's rich data assets to track curriculum performance, identify equity gaps, and support continuous improvement. Our focus is clear: empower great curriculum through rigorous, actionable insight. We combine statistical rigor with meaningful impact and believe every analysis should make WGU's courses and programs stronger.   

 

The Role: Senior Data Analyst 
The 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 
• Mentor and support junior analysts through code reviews, knowledge sharing, and collaborative problem-solving, contributing to a culture of continuous learning on the team
• Apply statistical methods and exploratory analysis to surface patterns, test hypotheses, conduct impact analyses, and bring quantitative depth to curriculum performance questions

What you bring 

• Bachelor’s degree in a related field
• 5+ years of experience in data analytics, business intelligence, institutional research, or applied analytics
• Advanced proficiency in SQL and intermediate proficiency in Tableau
• Experience with descriptive statistics, causal analysis, inference, and forecasting methods

Bonus if you have 

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

Experience in lieu of education  

An equivalent combination of training, experience, credentials, or accomplishments demonstrating the ability to perform the essential functions of this job may substitute for education degree requirements. 

 

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.

 

What to Expect
At WGU, our mission drives everything we do—including how we hire. Our interview experience is designed to give qualified candidates the opportunity to show their best work through meaningful conversations, practical problem-solving, and authentic collaboration.

We thoughtfully review every application and invite forward the candidates whose experience and potential best align with the role and our mission. If selected, you’ll hear from a recruiter or hiring manager who will guide you through the process and help you know what to expect at each stage. We aim to communicate decisions promptly and respectfully.

Here’s what that typically looks like:

• Introductory call (~30 minutes): We’ll walk you through who we are at WGU and learn about your relevant experience.
• Hiring manager interview (~45 minutes)
• Technical interview (~45 minutes)

 

We're looking forward to getting to know you and seeing how you think, collaborate and build. Welcome to WGU.

 

#LI-FP1

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

Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive.

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.