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Added 55 mins ago
Data Analyst
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Canada
Full-time
We are seeking a highly experienced Data Analyst specializing in Business Intelligence, Analytics, Power BI, and Power Platform to join our client's dynamic team on a 12-month hybrid…
Added 1 hour ago
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Added 1 hour ago
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Added 6 hours ago
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$120,000 to $140,000 USD / year
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Added 11 hours ago
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Saint John, NB · Toronto, ON · Burlington, ON · Markham, ON · Montreal, QC · Halifax, NS
Full-time
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Added 12 hours ago
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Algonquin College of Applied Arts and Technology

Full-time Senior Data and Analytics Systems Analyst

Ottawa, ON, Canada

Pay: $48.07-$55.57-Hourly
Job type: Full-time
Apply by: Oct 28, 2026
Posting language: English
Posted: Sep 28, 2026

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Original job description

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

Department

Data, Analytics and Automation

Position Type

Full-Time Support

Salary Range

$48.07-$55.57-Hourly

Scheduled Weekly Hours

40

Anticipated Start Date

November 30, 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

October 15, 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

The Senior Data and Analytics Systems Analyst provides senior hands-on technical analysis, design, development, integration, implementation, and production support for the College's enterprise data and analytics platforms, with a primary focus on the enterprise data warehouse. This position independently develops and optimizes complex SQL, data models, ETL/ELT processes, and integrations involving legacy, on-premises, and software-as-a-service systems. This position also develops and supports Power BI and Microsoft Fabric solutions, including semantic models, governed data products, and approved emerging capabilities such as data agents. The Senior Data and Analytics Systems Analyst implements and monitors data quality controls, diagnoses complex data and production issues, and advises College clients and technical teams on secure, reliable, supportable implementation options. This position works within approved enterprise architecture, governance, security, and technology standards; contributes recommendations for platform improvement; and acts as technical lead for assigned workstreams while guiding less-experienced technical staff.

Required Qualifications

Four (4) year degree in Computer Science, Information Technology, Data and Analytics, or a closely related field.
Relevant professional certifications are considered an asset but are not mandatory where equivalent education, training, and experience have been demonstrated.
At least five (5) years of advanced SQL development and work with enterprise relational databases.
Substantial experience designing, developing, maintaining, and troubleshooting enterprise data warehouse and ETL/ELT solutions.
Experience integrating data from multiple enterprise systems, including legacy and software-as-a-service applications.
Experience supporting production data services and resolving complex data, performance, and integration issues.
Experience with Power BI and modern data and analytics platforms; Microsoft Fabric experience is preferred.
Experience translating business requirements into secure, supportable, and reusable data solutions; independently delivering complex technical work; leading defined technical workstreams; and guiding less-experienced analysts or developers.
This position is paid at Payband K
Vacancy is for P00655

This position is subject to the terms of Full-time Support Staff Collective Agreement: https://www.algonquincollege.com/hr/files/2024/01/SSCollectiveAgreementCurrent_E-1.pdf

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

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

Designs, develops, integrates, and supports the College's enterprise data and analytics platforms, with a primary focus on the data warehouse, SQL, data models, ETL/ELT, Power BI, and Microsoft Fabric. Implements data quality controls, resolves complex production issues, advises on secure and supportable solutions, and leads assigned technical workstreams while guiding less-experienced staff.

Requirements

Requires a four-year degree in Computer Science, Information Technology, Data and Analytics, or a closely related field, and at least five years of advanced SQL and enterprise relational database experience. Candidates need substantial data warehouse and ETL/ELT experience, enterprise system integration and production support experience, and the ability to deliver complex solutions, lead technical workstreams, and guide junior staff; Microsoft Fabric experience is preferred.

Skills

Advanced SQL Development
Enterprise Relational Databases
Data Warehousing
ETL/ELT
Data Integration
Power BI
Microsoft Fabric
Data Modeling
Data Quality Controls
Production Support
Performance Troubleshooting
Requirements Analysis
Technical Leadership
Data Governance
Data Security
Legacy and SaaS Systems Integration

Benefits

Health Insurance
Dental Insurance
Retirement Plans
Training and Professional Development
Tuition Assistance

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Data Warehouse
Advanced SQL
Relational Databases
ETL/ELT
Data Modeling
Data Integration
Power BI
Microsoft Fabric
Semantic Models
Governed Data Products
Data Agents
Data Quality
Production Support
Legacy Systems
Software-as-a-Service
Enterprise Architecture
Data Governance
Data Security
Data Analytics Platforms
Performance Troubleshooting
Business Requirements
Technical Workstream Leadership
Data and Analytics
Higher Education

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