Psychometrician and Data Analyst

2 weeks ago

Toronto, Canada University of Toronto Full time

**Date Posted**:07/12/2023
**Req ID**: 32736
**Faculty/Division**: Temerty Faculty of Medicine
**Department**: Office of the Associate Dean, MD Program
**Campus**: St. George (Downtown Toronto)
**Position Number**: 00037059

**Description**:
**About us**:
Home to over 40 departments and institutes, the University of Toronto's Temerty Faculty of Medicine lies at the heart of the Toronto Academic Health Science Network and is a global leader in ground-breaking research and education, spanning clinical medicine, basic science and the rehabilitation sciences sectors.

**Your opportunity**:
The MD Program trains the next generation of doctors by delivering a comprehensive learning experience to our students. We have been at the forefront of medical education innovation and scholarship, as well as life-changing health research and innovation, since we were established in 1843. Thanks to the contributions made by our faculty and staff, we are consistently recognized as the top medical school in Canada, and among the best in the world.

As the Psychometrician and Data Analyst, you will support the Office of Assessment and Evaluation within the MD Program in analyzing complex data, conducting detailed data analysis, and producing complex statistical information. You will be critical in developing components of data analysis and auditing programs to aid in data interpretation, quality assurance and overall decision making.You will utilize your strong analytical, problem solving, and critical thinking skills to advance important milestones and initiatives across the Office of Assessment and Evaluation.

**Your responsibilities will include**:

- Analyzing complex data that requires great precision and attention to many details
- Interpreting policies in decision-making and providing significant input into local policies, procedures and practices
- Producing complex statistical information
- Conducting detailed data analysis to inform management decision making
- Developing and maintaining components of data analysis and auditing programs for quality assurance purposes
- Developing information management methods in order to optimize the use of data
- Providing consultative advice on data analysis and requirements
- Designing and delivering presentations to stakeholders summarizing data analysis findings;
- Developing and maintaining a dashboard for quick access to key performance indicators.

**Essential Qualifications**:

- Master’s degree in educational psychology, Measurement, Psychometrics, and/or Information Technology or acceptable combination of equivalent experience.
- Minimum five (5) years of relevant experience, analyzing complex data and conducting detailed data analysis.
- Demonstrated experience producing statistical information, using classical test theory, item-response theory, and other statistical techniques.
- Proficiency with Borderline Regression Method analysis and standard setting of student assessments, such as using the Hofstee method.
- Knowledge of the basics of test validity.
- Expertise in creating and maintaining data visualization tools and dashboards (i.e. POWER BI and Tableau)
- Demonstrated experience interpreting policies and providing recommendations.
- Experience with data analysis and auditing programs (e.g. SPSS and SAS) for data analysis and quality assurance purposes.
- Excellent interpersonal, organizational and communications skills (oral and written)with an ability to multi-task and prioritize competing demands.
- Ability to work independently and as part of a team.
- Strong analytical and problem-solving skills.
- Extremely detail oriented with a high degree of accuracy.
- Demonstrated ability to exercise initiative, sound judgment and logical thinking.
- Commitment and respect of confidentiality.

**To be successful in this role you will be**:

- Communicator
- Efficient
- Meticulous
- Organized
- Problem solver
- Resourceful

**Closing Date**: 07/26/2023, 11:59PM ET
**Employee Group**: USW
**Appointment Type**: Budget - Continuing
**Schedule**: Full-Time
**Pay Scale Group & Hiring Zone**:
**Job Category**: Administrative / Managerial
**Recruiter**: Amanda Di Fonzo

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