Analytics Manager, Leavitt School of Health at Western Governors University

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.Job Summary:Western Governors University is hiring an Analytics Manager, Leavitt School of Health (LSH) to join our Institutional Analytics and Research (IAR) team onsite in Salt Lake City, Utah. 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 Experience Analytics, Institutional Research, Learning Analytics, Outreach Analytics, and Student Success Analytics.The Analytics Manager, Leavitt School of Health (LSH) owns the critical relationship and collaboration between College Insights Analytics and LSH. This role involves performing and coordinating rigorous data analyses, projects, and broader initiatives, deploying a mix of leadership, domain knowledge, stakeholder management, project management, and analytics insight. The Analytics Manager establishes and maintains strong relationships with peers and leaders across IAR. As the champion for data-informed decision-making, this role equips university departments, schools, and other teams with state-of-the-art analytics, research, and insights.Essential Functions and Responsibilities:

• Requirement Analysis: Leads and oversees the documentation of data, analytics, and research needs in projects of high complexity with a student- and equity-centered lens, collaborating with school leaders, data analysts, data scientists, and cross-functional partners. Leads the translation of user stories into technical requirements.
• Expectation Management: Sets and manages expectations about analytics projects and programs with cross-functional impact. Defines and owns communication plans and drives realistic goal setting and clarity about scope, timelines, outcomes, and dependencies.
• Data Querying & Quality: Work with business stakeholders and data analysts/scientists to identify adequate data sources for a project. Drives the identification, investigation, and resolution of complex data issues, contributing to the data's accuracy, completeness, consistency, timeliness, and validity.
• Data Visualization & Storytelling: Combines data analysis, visualization, and narrative structures to convey information in compelling ways that enable deliberate action.
• Communication: Conveys information effectively to senior leaders, partners, and peers using various resources and formats (synchronous and asynchronous, verbal and written). Is open and responsive to feedback to improve work. Fosters a positive and psychologically safe environment that enables open communication and feedback.
• Project Management: Leads and manages projects from inception to completion with a high level of autonomy, ensuring timely and high-quality delivery, adherence to scope, and alignment with business objectives.
• Stakeholder Management: Proactively develops solid and trust-based relationships with senior school leaders and key partners at IAR, Finance, and other functions to manage complex cross-departmental projects and processes effectively.
• Knowledge Management & Documentation: Creates and organizes information about processes, projects, operations, data assets, and insights, making it accessible in ways that increase the University's knowledge and efficiency.Knowledge, Skills, and Abilities:
  • Functional Acumen: Understands the school's most relevant KPIs, the drivers that affect them, its academic programs, and business processes. 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 achieving the school's objectives. Supports leadership in strategic planning and contributes to operational excellence.
  • Data Visualization & Storytelling: Is familiar with standard tools, such as Tableau and Power BI, to present data and information and deliver business insights.
  • Time Management: Willing to manage episodic spikes in workload and occasional tight timelines. Willing to work after hours and weekends, although rarely, as required by business needs.
  • Task Prioritization and Execution: Demonstrates exceptional ability to manage multiple tasks and projects simultaneously, setting up and managing priorities to handle competing demands effectively. Maintains a resilient mindset, adapting to changing circumstances and ensuring that critical deadlines are met without compromising quality.
  • Self-organization: Performs with high autonomy, reliability, self-direction, and a bias for action. Manages conflicting and concurrent activities with minimal need of supervision.
  • Project Management: Comfortable with project management methodologies, frameworks, and popular tools, such as MS Planner or JIRA, to organize and track tasks and projects.
  • Goal Setting: Experienced in defining team and individual objectives utilizing OKRs, SMART metrics, and similar frameworks.
  • Continuous Learning: Works actively to improve skills and knowledge through internal and external, formal and informal, structured and unstructured learning. Is a lifelong learner and embodies a growth mindset.
  • Excel Knowledge and Experience: Advanced-level Excel knowledge and prior experience managing large Excel models are a plus.
  • Data Querying & Transformation: SQL proficiency, including writing queries, modifying data, creating views, and knowledge of different join types, filtering, sorting, and aggregation, is a plus.Job Qualifications:
    • Bachelor's degree in a related field.
    • 5 or more years of experience in a related field (Data Analysis, Business Intelligence, Data Science, Statistics, Decision Intelligence, Research, or a related domain).
    • Prior experience in client/customer success roles is a plus.To explore more about our company and what makes working here special, visit our website at . To view current career opportunities and apply, please visit .#LI-SC#D&IThe 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: Pay Range: $97,100.00 - $145,600.00How to apply: apply onlineFull-time Regular Positions(FT classification, standard working hours = 40)This is a full-time, regular position 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.The University is an equal opportunity employer.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.