Data Analyst

1 week ago


Old Toronto, Ontario, Canada University Of Toronto Full time
Job Summary

We are seeking a highly skilled Data Analyst to join our team at the University of Toronto. As a Data Analyst, you will play a pivotal role in leading data collection, analysis, and reporting initiatives within the Office of the Dean, Graduate Studies, and Vice-Provost, Graduate Research and Education (OVPGRE).

Key Responsibilities
  • Develop and implement data collection methodologies to support strategic decision-making by senior administrators.
  • Manage and analyze graduate student data to inform policy development and enhance data transparency across the institution.
  • Collaborate with teams from various units/divisions on graduate data projects, ensuring accurate collection and integration of data.
  • Design and execute queries to extract relevant data from various sources.
  • Develop and maintain databases to support data analysis and reporting.
  • Resolve data integrity issues and ensure data quality.
  • Summarize complex statistical information and develop data visualizations to support decision-making.
  • Assist in report creation and provide administrative support for special projects.
Requirements
  • University Bachelor's degree or equivalent.
  • At least five (5) years of related experience.
  • Experience using data visualization software (e.g. Tableau).
  • Experience conducting both qualitative and quantitative research, including completing systematic literature reviews and summaries, web-based surveys, interviews, and other research techniques.
  • Experience analyzing data from multiple sources and creating polished written, descriptive/statistical, and visual reports of results.
  • Project management experience.
Preferred Qualifications
  • Strong technical skills, including expertise in word processing, relational databases, spreadsheet applications (e.g. Excel), statistical packages (e.g. SPSS, SAS), presentation software (e.g. PowerPoint), and data visualization software (e.g. Tableau).
  • Familiarity with institutional data and central systems.
  • Familiarity with database querying tools, such as SQL, and programming languages.
  • Ability to carry out a variety of descriptive and inferential statistical analysis, including regression analysis and other techniques.
  • Aptitude for numerate work and statistics, and analytical ability.
What We Offer
  • A dynamic and fast-paced work environment.
  • The opportunity to work with a talented team of professionals.
  • A competitive salary and benefits package.
  • Professional development opportunities.

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