Analyst, Loyalty Program & Member Experience Insights - Co-op Student at Loblaw Digital
Date: 8 hours ago
City: Toronto, ON
Contract type: Intern
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.
Term Length: 8 months
Term Start: January 19 or 26, 2026
Term End: August 21, 2026
Loblaw has adopted the following Hybrid working model (a combination of working between the office and remotely). Colleagues will continue working remotely up to 1 day a week, while spending the other 4 days in the office (to be determined by each business unit).
Whether shopping for your favourite foods, daily essentials, or little indulgences, the PC Optimum loyalty program helps Canadians live life well by delivering unparalleled customer value and utility through personalized offers, rewards, and experiences. As part of the Loyalty Team at Loblaw, you will be part of a group that drives the future direction of Canada's largest and most loved loyalty program.
As an Analyst, Loyalty Program & Member Experience Insights - Co-op Student you will work on the team responsible for long-term strategy, ongoing planning, and performance measurement of the PC Optimum loyalty program. You will leverage your passion for customers and analytical skills to uncover and report on customer and loyalty program insights.
Please note this position is based out of Loblaw's Downtown Toronto office (500 Lake Shore Blvd W). The incumbent will be expected to work in the office 4 days per week, and virtually for 1 day per week.
What You'll Do
While you will be working predominantly in SQL, your technical ability to code will likely not determine your success in this role. The loyalty data we work with is exceptionally broad (e.g., ranging from item level, raw transactional data to PCO app visits) and the nature of your analytic projects will often be highly ambiguous. For this, we’re looking for candidates who can think critically, are self-starters, comfortable with ambiguity, and eager to dive headfirst into our complex data-set.
As Must Haves:
If you are unsure whether your experience matches every requirement above, we encourage you to apply anyway. We are looking for varied perspectives which include diverse experiences that we can add to our team.
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.
#EN
#SS #COMMU #ON
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.
Term Length: 8 months
Term Start: January 19 or 26, 2026
Term End: August 21, 2026
Loblaw has adopted the following Hybrid working model (a combination of working between the office and remotely). Colleagues will continue working remotely up to 1 day a week, while spending the other 4 days in the office (to be determined by each business unit).
Whether shopping for your favourite foods, daily essentials, or little indulgences, the PC Optimum loyalty program helps Canadians live life well by delivering unparalleled customer value and utility through personalized offers, rewards, and experiences. As part of the Loyalty Team at Loblaw, you will be part of a group that drives the future direction of Canada's largest and most loved loyalty program.
As an Analyst, Loyalty Program & Member Experience Insights - Co-op Student you will work on the team responsible for long-term strategy, ongoing planning, and performance measurement of the PC Optimum loyalty program. You will leverage your passion for customers and analytical skills to uncover and report on customer and loyalty program insights.
Please note this position is based out of Loblaw's Downtown Toronto office (500 Lake Shore Blvd W). The incumbent will be expected to work in the office 4 days per week, and virtually for 1 day per week.
What You'll Do
- Using SQL, analyze a broad range of data sources (e.g., transactional, digital, sentiment) to uncover valuable insights about the PC Optimum program and its members
- Support consumer research executed through email surveys deployed to the PC Optimum member base
- Prepare reports, and presentations on the performance of the PC Optimum program with a focus on progress against objectives and key results (OKRs)
- Work closely with the broader Loyalty Strategy team to support strategic projects with diagnostic analytics and measurement
- Across all the above responsibilities, collaborate with cross-functional stakeholders including but not limited to Loblaw Digital, Loblaw Technology & Analytics, Loyalty Marketing, Loyalty Portfolio Management, Loyalty Partnerships, and more
While you will be working predominantly in SQL, your technical ability to code will likely not determine your success in this role. The loyalty data we work with is exceptionally broad (e.g., ranging from item level, raw transactional data to PCO app visits) and the nature of your analytic projects will often be highly ambiguous. For this, we’re looking for candidates who can think critically, are self-starters, comfortable with ambiguity, and eager to dive headfirst into our complex data-set.
As Must Haves:
- You are currently working towards a university degree in Business, Analytics, Engineering, Math, Science or any other quantitative field
- Proven analytics skills: conceptualizing, analyzing, and deriving insights from large data sets
- Experience with SQL
- Experience with data-visualization tools (e.g., Looker)
- Proficient experience with Microsoft Excel (e.g., Pivot Tables, vlookup, Power Query)
- Can create visually engaging slides in PowerPoint using linked data
- Able to communicate effectively to internal and external stakeholders in writing and in person
- Experience working with big data using SQL (e.g., Bigquery, Teradata)
- Experience working with loyalty, transactional, retail, and/or other customer-centric datasets
If you are unsure whether your experience matches every requirement above, we encourage you to apply anyway. We are looking for varied perspectives which include diverse experiences that we can add to our team.
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.
#EN
#SS #COMMU #ON
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