Manager, Data Analytics
Western Governors University
- Location
- Salt Lake City, UT
- Work model
- On-Site
- Level
- Entry
- Salary
- $116.6k – $209.9k/yr
- Posted
- Sep 1, 2026
About this role
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: Management_Executive 609 Pay Range: $116,600.00 - $209,900.00 Job Description At WGU, data is a powerful tool for understanding student experiences, driving institutional effectiveness, and improving outcomes at scale. As the Manager, Data Analytics, you will lead a team of data analysts responsible for delivering insights that support Academic Delivery and School Analytics stakeholders across the university. In this role, you will combine people leadership, technical expertise, and strategic thinking to help leaders make informed decisions that enhance student success. You will partner closely with academic and operational leaders to translate complex business questions into actionable analytics, foster a culture of data-informed decision-making, and contribute to WGU's commitment to equity and extraordinary student outcomes.
What You'll Do
Lead, coach, and develop a team of data analysts while fostering a collaborative, accountable, and high-performing team culture. Partner with Academic Delivery, School Analytics, and cross-functional stakeholders to identify analytics needs, define priorities, and translate business requirements into actionable analytical solutions. Drive complex analytics initiatives from planning through execution, including project management, stakeholder communication, resource allocation, risk mitigation, and ongoing monitoring. Lead the development and delivery of reports, dashboards, forecasts, and analytical insights that support strategic and operational decision-making. Collaborate with Data Engineering and technical partners to identify appropriate data sources, improve data pipelines, and support the development of scalable data products. Use data visualization, storytelling, and analytical rigor to communicate findings and recommendations that drive action and improve outcomes. Support data literacy, KPI development, operational excellence, and responsible data governance across the university.
What You'll Bring
Bachelor's Degree in a related field. 5 years of experience in a Data Analysis, Business Intelligence, Data Science, Statistics, Decision Intelligence, Computer Science, Marketing Analytics, Mathematics, or a related domain. 1 year of experience in people leadership. Ability to create healthy work environments conducive to collaboration, learning, accountability, and high performance, including experience with hiring, onboarding, coaching, performance management, and succession planning. Experience defining team and individual objectives utilizing OKRs, SMART metrics, and similar frameworks. Demonstrated proficiency handling diverse data sources and advanced data manipulation techniques, including experience measuring,