Competition Number: J0426-0884
Position Title: Data Analyst
Position Number (Final): 00508991
Vacancy Type: New Position
Employee Group: Support Staff
Job Category: Information Technology
Department or Area: Human Resources
Location: Kingston, Ontario, Canada (Hybrid)
Grade: 08
Hours per Week: 35
Job Type: Term
Length of term: Term for 18 months
Shift: 7 Monday - Friday
Number Of Positions: 1
Date Posted: May 29, 2026
Closing Date: June 14, 2026
Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to declare their COVID-19 vaccination status and provide proof that they were fully vaccinated or had an approved accommodation to engage in in-person University activities. These requirements were suspended effective May 1, 2022, but the University may reinstate them at any point.
Queen’s University is the Canadian research intensive university with a transformative student learning experience. Here the employment experience is as diverse as it is interesting. We have opportunities in multiple areas of globally recognized research, faculty administration, engineering & construction, athletics & recreation, power generation, corporate shared services, and many more.
We are committed to employment equity and diversity in the workplace and welcome applications from individuals from equity seeking groups such as women, racialized/visible minorities, Indigenous/Aboriginal peoples, persons with a disability, persons who identify in the LGBTQ+ community and others who reflect the diversity of Canadian society.
Come work with us!
At Queen's, we are committed to helping people achieve their best. Whether you are beginning your career at Queen's or seeking your next opportunity, we are here to support you. Visit our Applicant Resources for guidance on applying, showcasing your skills and experience, and preparing for interviews.
Disclaimer: As part of the application process at Queen's University, our recruitment system uses Artificial Intelligence (AI), as defined under the Ontario Employment Standards Act, to ask job-related questions and confirm eligibility for hire. All final hiring decisions are made using non-AI related processes.
Reporting to the Manager, HR Systems and Analysis, the Data Analyst supports the collection, analysis, and reporting of HR data. This role focuses on turning data into clear insights by creating reports, dashboards, data summaries, and technical documentation. The Data Analyst brings strong technical skills, an innovative mindset, and an understanding of Human Resources within a postsecondary (higher education) environment.
Queen's has partnered with Altis Recruitment Services who is assisting us in hiring this position. If interested in being considered, please apply directly to Altis by emailing your cover letter and resume to Keenan Dabreo at [email protected]. Please include "Data Analyst - Queen's University" in the subject line of your email.
KEY RESPONSIBILITIES:
- Manages, collects, reviews, and analyzes HR data, as required to support business requirements and information needs and to complete both internal and external reporting requirements on a periodic and ad hoc basis.
- Clean and validate Human Resources Information System data to ensure accuracy, completeness, quality and uniformity.
- Support systems implementation projects by working with stakeholders in validating and creating the data that will be used in integrations. These projects are institutional priorities and transformative in nature.
- Liaises with other internal Units to meet requests for HR information. Internal Units include, but are not limited to, Financial Services, Budget Office, Institutional Research and Planning, Culture, Equity and Inclusion, and Information Technology Services.
- Develops and provides reporting for external agencies and gathers research and analysis.
- Strategizes with other internal units on how to translate and integrate data between HRMS and sub-systems.
- Consults with the HR leadership team on the creation of action plans to ensure data accuracy and coordination with the implementation of business process improvements.
- Performs data analysis using statistics and modeling and disseminates to clients; Prepares reports and visualizations.
- Develops and maintains HR ad-hoc reports, dashboards and visualizations.
- Translates complex and/or disparate needs, inquiries and data sources into easily understood and measurable responses and reports.
- Stays current with relevant literature and advances in technologies; maintains an understanding of the university’s strategic goals and contributes to the development of HR business processes.
- Investigates new data and analytics technologies and may assist with developing pilots or prototypes for new solutions.
REQUIRED QUALIFICATIONS:
- A university degree with a core focus on statistical methods, such as mathematics and statistics, computer science, quantitative analysis for the social sciences, or a related field.
- Experience with data collection, transformation, analysis, visualization, and distribution.
- Experience with data analysis, modeling, and BI tools, such as:
o Power BI, SQL, Python, R and Tableau or other Business Intelligence, data warehouse, and analytics tools
o Microsoft Office application skills including MS Excel advanced formulas, VBA and pivot tables
- Experience with web-based applications, survey applications; capacity and performance monitoring.
- Understanding of software development processes focused on the maturation of business requirements into system solutions with a high degree of quality expectations.
- Basic understanding of the concepts of data governance and knowledge management.
- Sensitivity to issues containing confidential information.
- Excellent verbal and written communication skills including experience writing technical documentation.
- Consideration may be given to an equivalent combination of education and experience.
SPECIAL SKILLS:
- Knowledge of university structure, procedures, policies, and systems and how they impact on the functioning of Human Resources.
- Actively listens to the concerns of others. Demonstrates a strong ability to gather factual details before responding. Whether in person or in writing, takes a careful approach when sharing complex information to ensure the explanation is understood.
- Actively engages the customer or team member and evaluates their needs in a timely manner. Establishes plans and organizes work to meet or exceed the deadlines. Periodically, conducts plan reviews and provides an update to client/customer and recommends any process efficiencies.
- Takes an active role in analyzing problems regarding resources/deliverables that may impact deadlines or standards and escalates for discussion and resolution. Plans medium-term requirements and provides insight into scope of potential problems and identifies possible solutions.
- Takes an active role to identify ways to improve department processes, and quality of customer service. Seeks to understand how to become more effective in own position. Participates in continuous learning by acquiring new knowledge that will add value to self and team.
- Actively works to collaboratively address quality problems by sharing concerns with team and manager. Understands the details of the problem and identifies solutions. Seeks to understand the nature of (new/existing) assignments as it relates to own role and the expected results.
- Takes an active role to positively support team members through change. Supports change by generating new ideas and offering suggestions that will benefit the team.
DECISION MAKING:
- Determines which data, reports and analyses are required and determine how to distribute and present data insights clearly and effectively for the University community.
- Analyzes quantitative and qualitative data, summarizing information and making sound recommendations for data-driven decisions.
- Makes recommendations for improvements and efficiencies for monitoring and ensuring compliance.
- Recommends options for decision making on data architecture, design and development with team.
- Allocates own time to ensure tasks are completed by deadline and provides input into prioritization of future tasks.
- Assesses appropriate “fit” of technical solutions relative to functional requirements conforming to University standards.
- Determines when to advise or involve Manager, HR Data and Analysis for complex or sensitive issues.
The University invites applications from all qualified individuals. Queen's is strongly committed to employment equity, diversity, and inclusion in the workplace and encourages applications from Black, racialized persons, Indigenous people, women, persons with disabilities, and 2SLGBTQI+ persons. In accordance with Canadian Immigration requirements, priority will be given to those who are legally eligible to work in Canada.
The University provides support in its recruitment processes to all applicants who require accommodation due to a protected ground under the Ontario Human Rights Code, including those with disabilities. Candidates requiring accommodation during the recruitment process are asked to contact Human Resources at [email protected].
