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Institutional Research Analyst

Job in Vancouver, BC, Canada
Listing for: Fairleigh Dickinson University
Full Time position
Listed on 2026-01-08
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Science Manager
Salary/Wage Range or Industry Benchmark: 70000 - 90000 CAD Yearly CAD 70000.00 90000.00 YEAR
Job Description & How to Apply Below

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Hiring Manager

Title:

Chief Operating Officer

Salary: 70,000 - 90,000 CAD

Position Type:
Staff

FLSA:
Exempt

Status:
Full-Time

Months Worked: 12 Month

SUMMARY OF POSITION

Reporting to the Vancouver Campus Controller, the Institutional Research Analyst plays a crucial role in serving the mission and strategy of the Vancouver Campus and supporting institutional effectiveness by providing technical, analytic, and coordinative support for institutional research and reporting. Duties will primarily include data organization, business and accreditation report development, survey design and implementation, and data analysis.

This role will also include institutional assessment, qualitative and quantitative research design and implementation, data collection, process development, and analysis of information in support of academic program accreditation projects and institutional planning.

This position will work collaboratively with colleagues across university departments at the Vancouver Campus and the New Jersey campuses to strengthen the institution’s efforts towards data quality and integrity, data process and policy development, and strategic support for data accessibility.

PRINCIPAL DUTIES
  • Develop, update, and perform quality assurance on institutional reports using data visualization techniques to track and present key performance indicators.
  • Develop and maintain internal student information datasets and dashboard reports, respond to internal data requests, and update and disseminate reports used for institutional reporting, planning and accountability.
  • Develop and maintain survey guidance and guidelines for use by the campus community; assist with survey tool development, implementation, and analysis.
  • Design and implement data collection and interpretation methodologies to support evaluation of and decision making in program assessment, regulatory compliance, and program development.
  • Maintain student career outcome and satisfaction databases/dashboard and generate reports as requested.
  • Gather, analyze and interpret information from external sources (e.g., IRCC , BC Labour Market Outlook, etc.) to inform decision making by internal stakeholders.
  • Assist new academic program proposal teams by collecting, interpreting and presenting data relevant to program development, such as labor market demand for graduates, market positioning, price sensitivity, academic program demand, competition factors, demographic trends, job opportunity data, etc.
  • Support Vancouver Campus leaders in completing institutional assessment processes and procedures, including those required for compliance.
  • Conduct ad hoc projects to support institutional assessment and institutional effectiveness.
  • Engages in professional development via webinars and workshops to expand the technological capabilities and best practices of the Vancouver Campus with respect to institutional research.
  • Perform other related duties as assigned.
  • REQUIRED QUALIFICATIONS
    • Bachelor’s degree in a quantitatively driven discipline (math, statistics, computer science) or other appropriately quantitative academic discipline (e.g., sociology, economics, psychology) required. Master’s degree in such fields preferred.
    • Three or more years of demonstrated success in institutional research, business analytics, enrollment management, financial aid, or another data-driven administrative or information management office.
    • Substantial experience using statistical analysis software and data visualization applications including Tableau and Tableau Prep, R for Statistics, MS Excel, and MS Power BI. Examples of statistical analyses and/or dashboards will be required.
    • Experience with enterprise data management…
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