Analyst, Product Information Management - Co-op Student

At Loblaw Digital, we know that our customers expect the best from us. Whether that means building the best, most innovative online shopping experience, or designing an app that will impact the lives of people across the country, we’re up for the challenge. From our office in Downtown Toronto, we’ve created leading eCommerce experiences in the online grocery shopping, beauty, pharmacy, and apparel spaces, and we’re only just getting started.

Why is this role important?

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).

At Loblaw Digital, we know that our customers expect the best from us. Whether that means building the best, most innovative online shopping experience, or designing an app that will impact the lives of people across the country, we’re up for the challenge. From our office in Downtown Toronto, we’ve created leading eCommerce experiences in the loyalty, online grocery shopping, beauty, pharmacy, and apparel spaces.

We are looking for an Analyst, Product Information Management – Co-op Student to join our PC Express Digital Merchandising Team, which is responsible for the online store experience. Specifically, the Product Information Management team ensures online information for all types of products we sell is accurate, complete and relevant to help customers make a purchase decision. This includes product names, descriptions, nutritional facts, and dozens of other customer-facing and backend attributes.

In this role the Analyst, Product Information Management – Co-op Student will support analytical projects and initiatives with the goal of increasing efficiencies, reducing errors, and ensuring optimal product information on site.

The successful candidate will use analytical tools and approaches to extract, manipulate, cleanse, and standardize product information data; create insights, reporting for internal/external stakeholders.

What you'll do:

• Analyze a broad range of data sources to generate insights about product enrichment, product availability, and sale offers.

• Build processes to extract, transform, cleanse, standardize and consolidate product data

• Prepare reports, and presentations on the performance of the PC Express product catalog with a focus on progress against objectives and key results (OKRs)

• Work with cross-functional teams to align with business requirements and opportunities

What you’ll need:

• Strong proficiency in SQL (e.g. aggregate functions, window functions, different join types) and MS Excel or Google Sheets (e.g. pivot tables, VLOOKUP formulas)

• Strong analytical skills with attention to detail and the capability to present analysis and

opportunities to stakeholders

• Strong written and verbal communication skills

• Ability to work independently as well as collaborate within a team environment

Great Additional Assets:

• Experience and proficiency using big data tools (e.g. GCP – BigQuery & Data Studio)

• Experience in eCommerce, digital merchandising, or the grocery industry

• Proficiency using Python

• Proficiency using any of the following platforms:

• Salsify

• Instabug

• SAP

• Superhuman docs (Coda)

• Jira

How You’ll Succeed:

At Loblaw Digital, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections. We’re able to keep innovating because our colleagues are passionate about their work and excited about the future of eCommerce. If you have big ideas, undeniable enthusiasm, and thrive in a collaborative, creative, and diverse group, we’ll get along just fine. Looking for a challenge? Good. Love an innovative work environment? Even better.

How You’ll Succeed:

At Loblaw Digital, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

We’re able to keep innovating because our colleagues are passionate about their work and excited about the future of eCommerce.

If you have big ideas, undeniable enthusiasm, and thrive in a collaborative, creative, and diverse group, we’ll get along just fine.

Looking for a challenge? Good. Love an innovative work environment? Even better.

Apply today.

Employment Type:

Full time

Type of Role:

Temporary (Fixed Term)

Loblaw Digital recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

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 an existing vacancy. 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 vacant existant. 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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