Business Analyst Co-op Student

Loblaw Companies Limited; Mississauga; Hybrid; CAD 35,000 - 66,000; Part time

Job summary

Loblaw Companies Limited in Mississauga is seeking a motivated Technical Analyst Co-op to join the Data Operations team. Gain hands-on experience with data pipelines, CRM systems, and cloud-based platforms.

The co‑op will support CRM migration, data processing, automation, and documentation while collaborating with cross‑functional teams to ensure data quality across systems.

Qualifications

• Currently enrolled in a program related to Computer Science, Data Analytics, Information Systems, or a related field.
• Basic knowledge of Python and SQL.
• Familiarity with ETL, data quality, and relational databases.
• Exposure to cloud platforms (GCP, AWS, Azure) is an asset.
• Experience with Power BI, Excel, or similar reporting tools is a plus.
• Strong analytical thinking and problem-solving skills.
• Excellent attention to detail and organizational skills.
• Strong written and verbal communication skills.

Responsibilities

• Assist in CRM data migration activities, including data extraction, transformation, validation, and loading.
• Support daily data operations, including monitoring data pipelines and troubleshooting data issues.
• Help maintain and enhance ETL processes using Python, SQL, or other tools.
• Perform data validation and quality checks to ensure accuracy and completeness.
• Work with cloud platforms (e.g., GCP) to support data storage and processing workflows.
• Contribute to automation of manual processes using scripting or workflow tools.
• Create and maintain technical documentation for data processes, pipelines, and workflows.
• Assist in building or enhancing reports and dashboards (e.g., Power BI).
• Collaborate with stakeholders to understand data requirements and support business needs.

Skills

Python

SQL

Data concepts

Analytical thinking

Communication skills

Detail oriented

Education

Currently enrolled in Computer Science / Data Analytics / Information Systems

Tools

Power BI

Excel

GCP / AWS / Azure

Job description

Come make your difference in communities across Canada, where authenticity, trust and making connections is valued – as we shape the future of Canadian retail, together. Our unique position as one of the country’s largest employers, coupled with our commitment to positively impact the lives of all Canadians, provides our colleagues a range of opportunities and experiences to help Canadians Live Life Well.

At Loblaw Companies Limited, we succeed through collaboration and commitment and set a high bar for ourselves and those around us. Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.

Winter 2027 Work Term

Term Length: 4 months

Term Start: January 6, 2027

Term End: April 16, 2027

The pay range for the co-op student role will reflect factors such as the candidate’s experience, academic level, and the specific skillset required for the role.

Loblaw has adopted the following hybrid working model (a combination of working between the office and remotely). Colleagues can work remotely up to 1 day a week, while spending the other 4 days in the office (to be determined by each business unit).

Technical Analyst Co-op – Data Operations

Position Overview

We are seeking a motivated and detail-oriented Technical Analyst Co-op to join our Data Operations team. This role offers hands‑on experience working with data pipelines, CRM systems, and cloud-based data platforms.

The co‑op student will support ongoing initiatives including CRM platform migration, data processing, automation, and documentation, while collaborating with cross‑functional teams to ensure data quality and reliability across systems.

Key Responsibilities

• Assist in CRM data migration activities, including data extraction, transformation, validation, and loading
• Support daily data operations, including monitoring data pipelines and troubleshooting data issues
• Help maintain and enhance ETL processes using Python, SQL, or other tools
• Perform data validation and quality checks to ensure accuracy and completeness
• Work with cloud platforms (e.g., GCP) to support data storage and processing workflows
• Contribute to automation of manual processes using scripting or workflow tools
• Create and maintain technical documentation for data processes, pipelines, and workflows
• Assist in building or enhancing reports and dashboards (e.g., Power BI)
• Collaborate with stakeholders to understand data requirements and support business needs

Qualifications

• Currently enrolled in a program related to Computer Science, Data Analytics, Information Systems, or a related field
• Basic knowledge of Python and SQL
• Familiarity with data concepts such as ETL, data quality, and relational databases
• Exposure to cloud platforms (GCP, AWS, Azure) is an asset
• Experience with tools like Power BI, Excel, or similar reporting tools is a plus
• Strong analytical thinking and problem-solving skills
• Excellent attention to detail and organizational skills
• Strong written and verbal communication skills

Nice to Have (Not Required)

• Experience with workflow automation tools (e.g., Power Automate, Airflow)
• Familiarity with version control (Git)
• Understanding of data warehousing concepts
• Experience working with APIs or file-based data transfers (SFTP, CSV, etc.)

What You’ll Gain

• Hands‑on experience with real‑world data pipelines and cloud data platforms
• Exposure to CRM systems and enterprise data migration projects
• Opportunity to work on automation and process improvement initiatives
• Mentorship and guidance from experienced data professionals
• Practical experience that bridges data analytics and data engineering

Work Environment

• Collaborative team environment with exposure to cross‑functional stakeholders
• Opportunity to contribute to impactful, production‑level data workflows

Our commitment to Sustainability and Social Impact is an essential part of the way we do business, and we focus our attention on areas where we can have the greatest impact. Our approach to sustainability and social impact is based on three pillars – Environment, Sourcing and Community – and we are constantly looking for ways to demonstrate leadership in these important areas. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision‑making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers, Canada’s Best Diversity Employers, Canada’s Greenest Employers & Canada’s Top Employers for Young People.

We have a long-standing focus on diversity, equity and inclusion because we know it will make our company a better place to work and shop. We are committed to creating accessible environments for our colleagues, candidates and customers. Requests for accommodation due to a disability (which may be visible or invisible, temporary or permanent) can be made at any stage of application and employment. We encourage candidates to make their accommodation needs known so that we can provide equitable opportunities.
Please Note :
Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.

Hiring Range / Échelle salariale à l’embauche :

$35,100.00 - $65,700.00 / 35.100,00$ - 65.700,00$ (per year / par an)

A candidate’s experience and knowledge as well as the geographical region in which the position is located may be factored into the pay a candidate receives for this position. This posting is for a newly created position. The Company uses artificial intelligence for the purpose of screening, assessing and/or selecting applicants for this position. / L’expérience et les connaissances d’un candidat ainsi que la région géographique dans laquelle le poste est situé peuvent être prises en compte dans la rémunération qu’un candidat reçoit pour ce poste. Cette offre d’emploi concerne un poste nouvellement créé. L’entreprise utilise l’intelligence artificielle dans le but de filtrer, d’évaluer et/ou de sélectionner les candidats à ce poste.

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