Advancement Analyst
Role Overview
Supports University Advancement with performance tracking, value-for-money analysis, benchmarking, trend monitoring, analytics initiatives, and governance reporting.
Collaborates with colleagues to support strategic planning and decision-making for University Advancement’s senior management.
Key Skills for This Role
Full Job Posting
Position summary
Supports University Advancement with performance tracking, value-for-money analysis, benchmarking, trend monitoring, analytics initiatives, and governance reporting.
Collaborates with colleagues to support strategic planning and decision-making for University Advancement’s senior management.
Primary responsibilities
- Conduct and present trend analyses, financial projections, value-for-money assessments, and performance reporting, including data mining, forecasting, and benchmarking.
- Collect industry and benchmarking data; develop and monitor KPIs; help prepare reviews of results and management discussion and analysis.
- Write and present reports and executive summaries on philanthropic issues, analytics, KPIs, and emerging trends.
- Improve reporting tools and data structures; assist with self-service analytics using Power BI and Salesforce reporting.
- Analyze large, varied datasets; use visualization, statistical and predictive modeling, forecasting, and data retrieval to support decisions.
- Translate business questions into analytical solutions, investigate data anomalies, and support data integrity and collection standards.
- Develop dashboards and reporting capabilities and participate in the Analytics Centre of Excellence.
Education and experience
- Bachelor’s degree in a pertinent field; a Bachelor of Commerce is an asset.
- Minimum three years of related experience.
Qualifying skills and abilities
- Requires business analysis expertise, strong SQL, and experience analyzing data from multiple sources.
- Experience developing reports and dashboards with enterprise tools such as Power BI, Python, R, Excel, and Salesforce reporting.
- Requires understanding of modeling techniques, data extraction and manipulation, data models, and enterprise data environments.
- Statistical and machine learning model experience and knowledge of emerging technologies are assets.
- Requires strong communication, writing, presentation, collaboration, organization, planning, problem-solving, and attention to detail.
- Must manage multiple projects, prioritize work, and meet deadlines.
Work arrangement
- Up to two remote-work days per week are available where the position permits.
- The role is based at the campus where the position is located; employees must be authorized to work in Canada and willing to work in Quebec.
Compensation and schedule
- Annual salary range: $73,470–$110,210.
- Full-time schedule of 33.75 hours per week.
Benefits
- Benefits include health, dental, and life insurance; pension and savings plans; vacation and personal days; and paid time off during specified holidays.
- Regular employees and their dependents may receive a tuition waiver.
About University Advancement
University Advancement engages alumni, volunteers, friends, and the public and supports McGill’s fundraising and philanthropic ambitions.
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