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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 312
Pay Range: $106,700.00 - $165,400.00
Job Description
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: Faculty Analytics, Institutional Research, Curriculum Analytics, Outreach Analytics, and Student Success Analytics.
The Senior Analytics Manager in College Analytics is a trusted advisor to senior leadership across Schools, Marketing, Enrollment, and/or Regions, owning and driving all aspects of the relationship and collaboration between the department and their assigned partners. They perform and coordinate rigorous data analyses, projects, and broader initiatives, deploying a mix of leadership, domain knowledge, stakeholder management, project management, and analytics acumen, applying exceptional interpersonal and communication skills to influence execution and outcomes. They establish and maintain strong relationships with peers and leaders across the department, Data Engineering, Product Management, Finance, EdTech, and Faculty staff. As thought leaders in data-informed decision-making, they lead in equipping university departments, schools, and other teams with state-of-the-art analytics, research, and insights. Primary Responsibilities
- Acts as a thought partner and trusted advisor in all analytics matters, collaborating in the definition and construction of tools that generate valuable insights for school's leadership, and building strong relationships with senior partners and stakeholders.
- Leads and oversees the documentation of data, analytics, and research needs in projects and programs of high complexity with a student and equity-centered lens, collaborating with peers, cross-functional partners, faculty staff, and leaders. Leads the translation of user stories into technical requirements. Defines requirement analysis best practices and drives their adoption across the department.
- Sets and manages expectations about analytics/research projects and programs with cross-functional impact. Defines and owns communication plans, drives realistic goal setting and clarity about scope, timelines, outcomes, and dependencies.
- Identifies adequate data sources and data sets to evaluate hypotheses, produce forecasts, and support findings of analytics and research projects and experiments.
- Drives the identification, investigation, and resolution of complex data issues, contributing to the accuracy, completeness, consistency, timeliness, and validity of the university's data. Collaborates with Data Engineering and other data & analytics partners to define standards and best practices that increase data quality across the university.
- Combines data analysis, visualization, and narrative structures to convey information in compelling ways to instigate deliberate action. Participates in the definition of data visualization standards and best practices and promotes their adoption across the department and the university.
- Plays a prominent role in other team members' development through constructive feedback and sharing of technical and institutional knowledge.
- Conveys information effectively to peers, partners, and senior leaders, using a variety of resources and formats (synchronous and asynchronous, verbal and written) such as e-mails, presentations, meetings, and workshops. Defines and owns communication plans for complex, high-visibility projects and programs that span several university departments.
- Creates and organizes information about processes, projects, operations, data assets, and insights from analyses and research, making it accessible in ways that increase the university's knowledge and efficiency. Writes and interprets technical documentation (e.g., Entity-Relationship, Conceptual, Logical, and Physical data models). Contributes actively to the enrichment of the university's data management platforms (e.g., data dictionaries, catalogs, etc.).
- Drives tasks, activities, and large-scale, cross-functional projects and programs with high levels of autonomy, confidence, and collaboration with peers and partners.
- Breaks down complex goals into concrete tasks and activities, and actively supports leaders in project planning. Tracks and reports own progress, dependencies, and challenges diligently.
- Expert in the university's most relevant KPIs, the drivers that affect them, and plays a leading role in their definition and tracking. Applies sound judgment, systems-thinking, and analytical skills to assess risks, perform root-cause analyses, make recommendations, and drive cross-functional decisions that contribute to the achievement of the university's objectives. Leads strategic planning and operational excellence initiatives across the department.
- Proposes solutions for large-scale problems and requirements. Collaborates effectively with technical specialists (e.g., data engineers, data analysts, data scientists) in the design and construction of data products, systems, and applications.
- Understands and abides by the relevant policies and methods to access, use, transform, store, and delete data in responsible, secure, and compliant ways. Identifies data security risks when dealing with concrete data sets and takes adequate mitigation actions.
- Performs other job-related duties as assigned.
Education
- Bachelor's degree in a related discipline
Experience
- 7 years of related experience in Data Analysis, Business Intelligence, Data Science, Statistics, Decision Intelligence, Research, or related discipline.
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. Preferred Qualifications
Work Location:
- This position is in-office in Salt Lake City, UT.
#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.
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Western Governors University
life insurance, flexible benefit account, parental leave, paid time off, paid holidays, sick time
Jul 19, 2025