Job description
Builds positive, productive and collaborative relationships within Advancement, across the University and with other schools- Creates and implements policies on what and how data is used for reporting including who has access to the data and ensuring privacy legislation is followed
- Ensures an understanding of the importance and impact of data presented by developing a deep understanding of Advancement processes and expected outcomes
- Acts as a consultant to help assess project and program outcomes and to ensure interpretation of data is accurate
- Acts as a consultant to ensure that various strategic issues and priorities are critically examined and that the planning activities are grounded in sound and reliable evidence
- In partnership with the Data Steward, accountable for the stewardship of data within the portfolio including:
- Ensuring the data has integrity for what it is being used for
- Ensuring privacy rules are followed
- Providing a documented understanding of data ensuring accurate interpretation
- Ensures the appropriate application of the data by establishing appropriate review and approval processes
- Creates a reporting dashboard for Advancement to include the development of metrics and the monitoring of key business outcomes
- Provides analytic leadership:
- Analyzes and projects the performance and reporting on the fundraising progress and effectiveness of all Advancement programs, with a particular focus and expertise within the University’s Annual Giving Program
- Presents data analytics in an efficient and easily understandable way to a wide variety of audiences and users, using various reporting formats and web technologies
- Researches new tools, systems and practices to recommend ongoing improvements in data analytics
- Develops reliable forecasting and other models to make recommendations to improve fundraising programs and support planning
- Analyses data using best practice methodologies and consistent definitions to support evidence-based decision making and to identify trends and opportunities
- Translates data into information
- Develops statistical models, as required, for prospect identification or solicitation.
- Provides leadership or co-leadership on specific data analytics and research projects, as required, including surveys, benchmarking, focus, and ad hoc groups where appropriate
- Prepares and delivers presentations at internal and external meetings or conferences
- Participates in relevant internal and external committees and councils, or events
- Contributes to the development of strategic and operational plans
- Leads the design, implementation, and ongoing enhancement of data infrastructure necessary to collect, store, report and analyze data and trends related to alumni engagement and fundraising
- Develops the necessary models and projections to support strategic planning
- Develops data models, data definitions and reporting methodologies
- Ensures the team acquires, develops and maintains knowledge of best practices and tools needed for data acquisition, transformation, maintenance, and analysis
- Provides overall leadership to the organization by personally championing the mission, vision and guiding principles
- Participates in the creation of Advancement goals and objectives
- Mentor a positive and collaborative orientation among staff and colleagues
- Bachelor’s Degree in Mathematics, Computer Science, Statistics or equivalent combination of education and experience
3 years of progressively responsible experience performing duties related to data/statistical methods, applications, research and data analysis and reporting preferably in a fundraising/alumni relations environment - Demonstrated experience in creating business performance metrics at the organization unit, team and individual level
- Experience with Blackbaud’s Raisers Edge, Ruffalo Noel Levitz’ Campus Call would be an asset
- Demonstrated ability to build collaborative relationships across large complex organizations
- Broad understanding of research methodologies and statistical analysis
- Critical thinking skills and a natural curiosity to understand data relationships
- Demonstrated facilitation and presentation skills and the ability to build consensus and demonstrate diplomacy
- Strong communication skills ensure that insights are shared effectively
- A desire to go beneath the surface of a problem, find the questions at its heart, and distill them into a very clear set of hypotheses that can be tested
- Comfortable with predictive as well as descriptive analyses and narratives
- Knowledge of a wide array of technical disciplines, including statistics, visual analytics, modeling
- Demonstrated project management skills
The University values the diverse and intersectional identities of its students, faculty, and staff. The University regards equity and diversity as an integral part of academic excellence and is committed to accessibility for all employees. The University of Waterloo seeks applicants who embrace our values of equity, anti-racism and inclusion. As such, we encourage applications from candidates who have been historically disadvantaged and marginalized, including applicants who identify as First Nations, Métis and/or Inuk (Inuit), Black, racialized, a person with a disability, women and/or 2SLGBTQ+.
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
The University of Waterloo is committed to accessibility for persons with disabilities. If you have any application, interview, or workplace accommodation requests, please contact Human Resources at [email protected] or 519-888-4567, ext. 45935.
About University of Waterloo
CEO: Feridun Hamdullahpur
Revenue: $500 million to $1 billion (USD)
Size: 1001 to 5000 Employees
Type: College / University
Website: www.uwaterloo.ca
Year Founded: 1957