Senior Analytics Manager - College Analytics
Senior Analytics Manager - College Analytics
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$ 106700 - 165400
1 Vacancy
Job Description
If youre passionate about building a better future for individuals communities and our countryand youre committed to working hard to play your part in building that futureconsider 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:
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 schools 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 universitys 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 universitys 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 universitys 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 universitys 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 universitys 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
- Bachelors 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
- MBA in a related field.
Work Location:
- This position is in-office in Salt Lake City UT.
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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. Its 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.
Required Experience:
Manager
Employment Type
Full-Time
