Senior Analytics Manager - College 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 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, mee