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Ottawa, ON
- Full-time
Please Note: If you are a current Algonquin College employee, apply to this job via the Workday application.
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An Initial AI Screening will be conducted for this role. Please Click Here to complete your AI screening while submitting your application.
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Algonquin College

Full-time Institutional Research Advanced Data Analyst

Ottawa, ON, Canada

$41.20-$47.57-Hourly · Full-time

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Job details

Pay: $41.20-$47.57-Hourly
Job type: Full-time
Apply by: Nov 11, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

Please Note: If you are a current Algonquin College employee, apply to this job via the Workday application.

Department:

Academic Operations and Planning

Position Type:

Full-Time Support

Salary Range:

$41.20-$47.57-Hourly

Scheduled Weekly Hours:

36.25

Anticipated Start Date:

December 14, 2026

Length of Contract:

n/a

Posting Information

Support Staff employees, as defined by the full-time Support Staff Collective Agreement, will be given first consideration.

Posting Closing Date:

November 11, 2026

Please note: jobs are posted until 11:59 pm on the job closing date.

Land Acknowledgment:

Algonquin College campuses in Ottawa and Pembroke are located on the traditional unceded, and unsurrendered territory of the Anishinàbe Algonquin People. The Algonquin People have inhabited and cared for these lands since time immemorial. We take this time to express our gratitude and respect to them and to the land for all that it has provided and will continue to provide.

Job Description:

Reporting to the Manager, Institutional Analytics and Planning, the IR Advanced Data Analyst develops predictive models, forecasts and advanced analytical tools to support strategic, academic and financial decision-making. The position integrates enrolment, student, program, financial, demographic, labour-market and other internal and external data to identify emerging patterns, estimate future outcomes and assess the factors influencing institutional performance.

The incumbent develops and evaluates models related to enrolment demand, applicant conversion, student retention and completion, program performance, revenue and financial sustainability. The position conducts scenario and sensitivity analysis to help College leaders understand the potential effects of changes in student demand, demographics, government policy, funding, tuition, economic conditions, program mix and institutional decisions.

Working collaboratively with Institutional Research analysts, the Institutional Research BI Analyst, and other College subject-matter experts, the incumbent prepares and validates data, selects appropriate analytical methods, develops reproducible models and translates complex findings into clear planning implications. The position establishes model documentation, testing and monitoring practices and supports the responsible use of predictive analytics across the College.

The position is primarily responsible for developing forward-looking analytical methods and reusable modelling capabilities rather than recurring operational reporting. The incumbent works on complex analytical projects and provides evidence, forecasts and scenarios to support institutional planning, resource allocation and strategic decision-making.

Required Qualifications:

Minimum three (3) year Diploma/Degree in Data Science, Statistics, Information Technology, Business, Economics, Finance, or a related quantitative or analytical discipline;
Minimum five (5) years experience in:
Advanced data analysis, statistical modelling, forecasting, predictive analytics and scenario analysis using complex data from multiple sources;
Experience preparing, integrating and validating data; developing and evaluating reproducible analytical models; and interpreting findings to support strategic, academic, operational or financial decision-making;
Experience using analytical programming and data tools such as Python, R, SQL, Power BI or comparable technologies is required;
Communicating complex analytical findings, assumptions and limitations to non-technical decision-makers is also required.

*This position is paid at Payband I

*Vacancy is for P23684

This position is eligible for hybrid (2 days on-site) work in conjunction with the College's Flexible Work Arrangement Policy. https://www.algonquincollege.com/policies/hr26/ (subject to change).

This position is subject to the terms of the Full-Time Support Staff Collective Agreement: SSCollectiveAgreementCurrent_E-1.pdf (algonquincollege.com)

Why Join Algonquin College?

Compensation: Many roles offer a competitive base salary and comprehensive benefits, including health, dental, and retirement plans designed to support your well-being. Eligibility for benefits vary by position. Benefits | Careers
Learning and Development Opportunities: Access to training, tuition assistance programs (Algonquin College Courses and Degree Completion), certifications, workshops, and professional courses that allow you to grow and advance in your career. About Us | Employee Learning and Development. Availability depends on role and employment status.
Company Culture: Our values of caring, learning, integrity, and respect define how we interact with one another. We foster a supportive and collaborative environment. Algonquin College has been recognized by Forbes as one of Canada’s Best Employers for 2025 and one of Canada’s Best Employers for Diversity for 2024
Inclusion, Diversity, Equity, and Accessibility (IDEA): We are proud to be the first Ontario college to implement an Equity, Diversity, and Inclusion policy, fostering an inclusive workplace where all employees feel respected and valued. Affinity Group Conversation Communities | Inclusion & Diversity & Truth and Reconciliation
Flexible Work Arrangement Policy. Select positions are eligible for hybrid work in accordance with the College’s Flexible Work Arrangement Policy https://www.algonquincollege.com/policies/hr26/ (subject to change).

How We Use AI in Hiring:

Algonquin College uses artificial intelligence technology to assist in screening and assessing applicants and their applications, while ensuring that all processes respect and uphold the provisions of applicable collective agreements above all else.

Accessibility:

Algonquin College values diversity and is an equal opportunity employer. We are committed to fostering an inclusive, equitable, and culturally respectful workplace. We offer an inclusive work environment and encourage applications from candidates of all backgrounds, including Indigenous peoples, persons with disabilities, members of racialized groups, and individuals from diverse communities. If you require accommodation during the recruitment process, please contact the Human Resources department at humanresources@algonquincollege.com. While we thank all those who apply, only those to be interviewed will be contacted.

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More about this job

Responsibilities

The incumbent develops predictive models, forecasts, and advanced analytical tools to support strategic, academic, and financial decision-making. They integrate complex data from multiple sources to identify emerging patterns and assess factors influencing institutional performance.

Requirements

Candidates must possess a minimum three-year diploma or degree in a quantitative discipline and at least five years of experience in advanced data analysis and statistical modeling. Proficiency in analytical programming tools such as Python, R, SQL, or Power BI is required.

Skills

Predictive modeling
Data analysis
Statistical modeling
Forecasting
Scenario analysis
Python
R
SQL
Power BI
Data validation
Institutional research
Strategic planning
Financial modeling
Data integration

Benefits

Health insurance
Dental plan
Retirement plan
Tuition assistance
Professional development

Visa sponsorship

Not detected in the job text

Keywords

Institutional Research
Predictive Analytics
Data Science
Statistics
Information Technology
Finance
Economics
Python
R
SQL
Power BI
Scenario Analysis
Enrolment Management
Student Retention
Financial Sustainability
Data Modeling
Quantitative Analysis
Strategic Planning
Higher Education
Business Intelligence

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