Manager, Data Analytics and Business Intelligence
3 weeks ago
Overview:
The Manager, Data Analytics and Business Intelligence is responsible for providing analytical support and reporting to a variety of internal and external stakeholders including, but not limited to, Advancement, Academic Deans and Senior leaders on campus, external benchmarking exercises and colleagues from other institutions.
**Responsibilities**:
User Consultancy
- 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
Data Analysis and Reporting
- 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
Data Warehousing & Infrastructure Development
- 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
Team Leadership
- 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
Qualifications:
- Bachelor’s Degree in Mathematics, Computer Science, Statistics or equivalent combination of education and experience
- 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
Equity Statement:
The University of Waterloo acknowledges that much of our work takes plac
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