Data Analyst

at University of Waterloo, Waterloo, Canada

Listed on EduAtlas: live school vacancies from schools’ own careers pages and public job services. Apply on uwaterloo.wd3.myworkdayjobs.com. 2 similar posts in Canada.

Salary: CAD 73,695 a year
Closing date: Open until filled
Start: Not given in the advert
Type of post: Administration and business
A support post, not a teaching post.
First seen: 30 October 2026, on a public job listing

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The advert

At the University of Waterloo, we create and promote a culture where everyone can reach their full potential. As an employee, you get support & opportunities that empower you to advance your career. Explore how we can bring big ideas to life, together. The University is a welcoming workplace for those of all abilities, interests, and expertise. As part of our workforce, you can do what you do best, every day.

Learn more about our recruitment process.

Job Requisition ID:

2026-02467

Time Type:

Full time

Employee Group:

Staff

Job Category:

Analytics and Reporting

Employment Type:

Temporary

Department:

Faculty of Mathematics - Dean of Mathematics Office - Data

Hiring Range:

$73,695.42 - $92,119.28

Posting Information:

This posting is for an existing vacancy.

The internal posting deadline for this position is September 3, 2026 at 11:59PM

This position is being offered as a Secondment or contract opportunity. Term: 2 years

Job Description:

Primary Purpose

The Data Analyst will advance the Faculty of Mathematics’ use and integration of data to inform decision-making and improve operational efficiency. The Data Analyst is responsible for understanding, consolidating and analyzing data about the Faculty of Mathematics and for effectively communicating analyses and findings. The Data Analyst will maintain a robust understanding of data systems and of University and Faculty policies and practices to be able to understand the needs of a variety of clients across the Faculty and to design and develop effective data solutions.

Key Accountabilities

Data Management

• Ensure Faculty data is accurate, consistent, properly maintained and shared in compliance with relevant privacy protection, confidentiality and other ethical principles.

• Identify and address data integrity/reliability issues and use data cleaning processes to achieve required data quality standards and identify data anomalies and discrepancies to appropriate institutional data stewards.

• Understand the available data, systems, dictionaries, and distribution channels from multiple information systems across the University and involving multiple domains.

• Execute and develop new Python scripts that enable data-informed operational processes for Faculty service units.

• Design and implement dimensional models across multiple subject areas for analytics solutioning.

• Create and maintain documentation as needed.

Data Analysis and Reporting

• Independently work with varied clients to identify, clarify, and fully understand their questions or problems, determine appropriate analytical approaches, and develop effective data solutions

• Develop and apply deep understanding of University and Faculty policies, procedures, and guidelines (including but not limited to undergraduate studies regulations) to solution design and analysis.

• Analyze data using advanced statistical techniques (regression, clustering, decision trees etc.) to gain insights.

• Independently develop and apply reliable forecasting, predictive, and “what-if” models to address business questions and inform and support planning, evaluation, and budgeting processes.

• Assess and determine the appropriateness of machine learning algorithms, and other techniques to address business problems and optimize data solutions.

• Develop reports and relevant data visualizations (including dashboards, graphs and presentations and web applications) to inform evidence-based decision-making in the Faculty.

• Maintain Faculty-wide business intelligence reporting, ensuring consistent quality control practices and most recent data available.

• Develop queries using efficient SQL, applying expert understanding of databases and sound judgment of business requirements.

About University of Waterloo

Type: University