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Purpose:
The Division of Advancement's mission is to inspire and cultivate meaningful engagement and philanthropic support to advance York University's excellence in education, research, and community service. Under the direction of the Director, Prospect Research & Analytics, the Prospect Analyst supports prospect research and analytics, prospect identification and management processes, and the integrity, governance, and effective use of the Blackbaud CRM database across Advancement. maintains information on entities in the Prospect/VIP segment of the Advance database (CRM). This position requires the collecting, updating, preparing, and analyzing and coordinating information, overseeing complex records management activities, and monitoring of data quality across CRM. The role serves as subject matter experts in prospect management systems and processes, overseeing Advancement Division prospect management activities and monitors usage to ensure successful and appropriate operation. This also involves providing guidance and training to Advancement users on CRM standards, best practices, and relevant procedures particularly as it relates to prospect management. Working closely with Research, Development, Alumni, and Business Intelligence teams, the role also develops queries, data lists, reports, and data and statistical analyses to support prospect identification, portfolio management, and data-informed decision making across Advancement.
Education:
University degree in Commerce, Computer Science, Economics, Finance, Information Technology, Statistics, Mathematics, Social Sciences, or related field in business management or four years recent experience (defined as within the last five years) working at York University performing the same or similar tasks. This education equivalency is in addition to the experiential requirements outlined below.
Experience:
Minimum 3-year work experience in duties related to prospect management coordination, information management, working with and maintaining databases.
Skills:
Demonstrated skills including:
Expertise in database rules and procedures. and ability to communicate these rules to end-users
Excellent researching skills. web searching/navigation via the internet. online databases. and other information tools
Ability to understand complex documents and requests and determine vital details and intelligence to be added to CRM to support Advancement activity
Ability to exercise good judgment and flexibility in an environment of continuous change and process improvement
Attention to details with effective analytical skills, including the ability to collect and analyze data and prepare reports for various needs, in a variety of formats
Excellent written and oral communication skills to understand key aspects of request from an end-user. able to interact with end-user (in writing or verbal communications) to understand the request, or to convey the need for more information, or to explain procedural requirements related to the request. Includes ability to write and summarize information into precise, clearly understood documents
Proficiency in grammar, spelling, and content verification
Ability to exercise judgment related to confidentiality and privacy protocols and practices
Effective customer service orientation
Working effectively under pressure of high volume and meeting daily deadlines
Working independently and exercising good judgment
Understanding complex statistical methods of analysis.
Ability to train users and develop documentation (SOPs) related to systems and processes
Strong familiarity with automation and AI-enabled tools (e.g., Copilot, Python-based methodologies, other AI tools, etc)
Knowledge of PIPEDA, FIPPA, and best practices in privacy-related policies is an assetDemonstrated computer skills including:
Intermediate Word processing (MS Word)
Advanced spreadsheet skills (MS Excel), including working with large datasets, formulas, and data preparation.
Experience working with CRM databases (e.g., Blackbaud CRM or similar enterprise database systems).
Experience creating queries, reports, or data visualizations using tools such as Power Query, Power BI, Copilot (and other AI technologies) or similar reporting tools.
Experience preparing data for uploads, performing data validation, and supporting data quality initiatives in enterprise systems.
Understanding of statistical software such as SPSS.
Additional Notes:
Please note: This position requires the candidate to produce a verification of degree(s), credentials(s), or equivalencies from accredited institutions and/or international equivalents at the time of interview.
Hours of work: Monday to Friday 8:30 a.m. to 4:30 p.m. or 9 a.m. to 5 p.m
Summer: Monday to Thursday: 8:30 a.m. to 4:30 p.m. or 9 a.m. to 5 p.m. and Friday is: 8:30 a.m. to 3:30 p.m. or 9 a.m. to 4 p.m.
Requests to work overtime may occur during peak periods
Vacation restriction: Determined by volume of work, and special projects related to activities Prospect Management.
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If you are a current York University employee in the YUSA-1 bargaining unit and/or are using your job posting rights under the collective agreement to view and apply for jobs, you must apply through the Employee Career Portal - YU Hire to be considered an internal applicant.
As per Article 12.02(f) of the YUSA-1 Collective Agreement, to be considered an internal applicant, employees in the YUSA-1 bargaining unit must submit the application 5 working days following the first day of posting. This is referred to as the 'Posted Date' on the job posting. Please refer to the 'Posting Intent' on the job posting.
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PLEASE NOTE: This job posting is for an existing vacancy. Applications must be received by 11:55 pm EST on the posted deadline date, if applicable. Posting deadlines can be updated, or modified, at any time based on hiring needs. Please refer to the York U Career Portal when confirming posting deadlines.