Intermediate Research Associate

Niagara CollegeWelland, ON
CA$37 - CA$43Hybrid

About The Position

Niagara College is seeking an Intermediate Research Associate for the Institutional Analytics & Reporting Department at the Welland Campus. This temporary position, classified as Pay Band H, involves supporting primary and secondary research activities, particularly survey research, and assisting with the development of data models and visualizations using Power BI. The role is crucial for government reporting, managerial planning, and decision-making, helping the college meet reporting requirements, generate data analysis, evaluate program effectiveness, and track student success. The starting hourly rate is $37.34/hr, with a 37.5-hour work week. Additional hours may be required. This is a temporary position from August 2026 to March 31, 2027, with a possibility of extension.

Requirements

  • Minimum three (3) year diploma or degree, or similar, in any field of study
  • Minimum three (3) years’ recent and relevant experience in designing and conducting research and analysis related to social science research, market research, statistics or related field
  • Strong technical and database skills, particularly including proficiency in Excel
  • Proficient in analyzing data and creating reports and dashboards, particularly using Power BI or similar data visualization tools
  • Effectively manage workload in a busy environment with multiple priorities

Responsibilities

  • Provide research and project support to assist internal clients in gathering data and information needed for evidence-based planning and decision making
  • Develop and manage research resources, survey awareness and promotional campaigns
  • Implement established methods and procedures for collecting and preparing data for analysis
  • Program online surveys in related software applications (e.g., Survey Monkey, Qualtrix, CoursEval)
  • Use data visualization software (ex: Power BI) to support the development of reports and dashboards
  • Gather and transform operational data into an appropriate format for analysis, paying particular attention to data quality and integrity
  • Respond to ad hoc requests for commonly requested data and information
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