Senior Data Analyst

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 310Pay Range: $88, $132,400.00

Job Description

What's in it for you?
If you're passionate about making a real difference with your work—and want to see the impact of your analysis shape better outcomes for students across the country—you'll feel right at home at WGU. You'll join a collaborative, mission-driven team where your insights will drive big decisions and long-term strategies. Plus, you'll be working in a place that genuinely values innovation, lifelong learning, and helping each other grow.

Why WGU?
WGU is a nonprofit, online university dedicated to expanding access to higher education. Our innovative, competency-based model helps working adults earn affordable degrees on flexible schedules. Recognized by leaders in education, industry, and government, WGU continues to pioneer new ways of learning—and our people are at the heart of that progress.

About the IAR and College Analytics Team
The Institutional Analytics and Research (IAR) team partners across the university to turn data into better outcomes for students. Within IAR, the College Analytics team supports academic leaders with high-impact insights, predictive models, and strategic planning tools. Our focus areas include:

•  Closed Loop Analytics: Helping teams plan, execute, and evaluate initiatives using data-informed tools.
• Driver Analytics: Identifying the key levers that influence student success.
• Targets & Trajectories: Defining measurable goals and long-term outcomes for academic planning.

The Role: Senior Data Analyst
As a Senior Data Analyst on the College Analytics team, you'll be part detective, part storyteller, and part strategist. You'll work closely with partners across IAR, academic leadership, Data Engineering, Product, Finance, and EdTech to turn complex datasets into actionable insights. Whether you're answering high-stakes questions, building compelling data visualizations, or shaping analytics strategy, your work will help WGU stay student-focused and data-driven.

What You'll Do

• Tell meaningful stories with data—through visualizations, dashboards, and presentations.
• Translate user needs into clear technical requirements and analysis plans.
• Provide strategic insights that help drive academic and student success decisions.
• Partner with Data Engineering to build and refine pipelines, datasets, and data platforms.
• Solve complex data challenges to improve accuracy, completeness, and usability.
• Mentor teammates and foster a collaborative, growth-minded analytics culture.
• Stay curious—always learning, iterating, and applying the latest thinking in data analytics.

What You'll Bring

• Bachelor's degree in a related field.
• 5+ years of experience in Data Analysis, Business Intelligence, or related roles.
• Strong SQL skills and proficiency in Python or R.
• Experience working with large, structured, and unstructured datasets
• Proficiency with data visualization tools like Tableau or Power BI.
• A love for solving problems, simplifying complexity, and making data useful.
• A growth mindset and a desire to contribute to meaningful work.

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.

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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

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

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