Welcome to the new George Brown College online job application system.
Applied and Institutional Research
$31.56 – $36.58 per hour
35 hours per week
The Office of Institutional Research and Planning (IR&P) plays a key role in the collection, analysis, and dissemination of information for institutional planning and decision making. Reporting to the Senior Manager, Institutional Research and Planning, the Research Statistician:
Plans and provides statistical expertise required in the design, conduct and analysis of research studies and program evaluation.
Performs a variety of advanced statistical and spreadsheet functions in the validation, interpretation and analysis of data.
Collects data from various sources (Banner, surveys, departmental databases) and tests for data integrity, validity and reliability.
Conducts a variety of statistical analyses to test hypotheses, make inferences, determine causality, evaluate impacts, and monitor trends: regression analysis, experimental designs, logistic regression, survey sampling and weighting, multivariate analysis, categorical and longitudinal data analysis, identification of patterns and treatment of missing data and non-response.
Interprets and analyzes statistical outputs and determines whether additional analysis is required.
Writes statistical sections of reports and briefing materials for technical and non-technical audiences; participates in the presentation of findings.
Working with IR&P researchers, develops strategies for creating, collecting and managing large and complex datasets.
Trains IR&P researchers in the use of advanced statistical techniques and development of syntax.
Provides advice and/or assists in the creation of database protocols, data coding and documentation.
Assists the Manager with the development of project plans; reviews and updates research protocols and timelines; monitors progress against project deliverables.
Performs other related duties as assigned.
Four year degree from a recognized post-secondary institution in Statistics, Economics, or a related discipline with courses in statistics and research methods.
Minimum five years of progressive work experience conducting advanced statistical/analytical studies; experience in a post-secondary environment is preferred.
Experience working with large databases, data mining and reporting.
Direct experience working with statistical packages is required, SPSS (preferred) or SAS.
Experience conducting cost-benefit analysis is desirable.
Advanced knowledge of computers and software, including Windows-based statistical software, spreadsheets, relational databases, word processing and presentation/graphics software.
Ability to train IR&P researchers to develop strategies for data analysis and research outcomes.
Strong attention to detail, analytical and problem solving skills are a must; ability to anticipate, identify and solve inconsistencies with data.
Self-starter with strong logistical and organizational skills; must be able to manage multiple projects with exceptional accuracy and attention to detail; good judgement and investigative skills to identify alternatives.
Demonstrated ability to design statistical methodology while working with complex research projects.
Excellent interpersonal, written and verbal English communication skills.
Ability to work in an environment where a diversity of people and situations are encountered.
Interview process may consist of a practical skills component.
The College requires proof of degrees, credentials or equivalencies from accredited regional or federal post secondary institutions and/or their international equivalents. Credentials may require validation at the time of interviews.
To apply submit a covering letter and resume combined in one (1) document.
Preference will be given to qualified internal candidates in accordance with the applicable collective agreement. Should a suitable candidate not be found, external candidates will be considered. George Brown College is dedicated to employment equity and encourages applications from women, persons with disabilities, racial/visible minorities and aboriginal peoples.