Manager, Data Analytics and Business Intelligence - Waterloo, Canada - University of Waterloo

University of Waterloo

Verified Company

Waterloo, Canada

1 week ago

Posted by:

Sophia Lee

beBee Recruiter

Description

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 evidencebased 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 coleadership 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