Senior Analyst, Loss Prevention Analytics

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.

Does working with some of Canada’s most talented minds in innovation supporting retail, digital consumer solutions and analytical platforms excite you? Loblaw Technology powers some of Canada’s most game-changing retail solutions, giving our customers the ability to live their lives well.

Come work with a team that values diverse ideas, fosters a culture of inclusion and develops our talent from within. Loblaw Technology gives you the chance to excel, and helps you to strive for success in a big way. Keep reading to learn more!

Please note the Loblaw hybrid work model is 4 days in office

Senior Analyst, Loss Prevention Analytics | Brampton

As a Senior Analyst within Loss Prevention Analytics, you'll play an important role in identifying and investigating fraud, internal theft and other risks across our retail business.

This position combines hands-on investigative analysis with the development of more scalable, data-driven approaches to fraud detection. Working with large and complex datasets, you'll identify suspicious activity, uncover emerging patterns and produce actionable intelligence to support our Asset Protection teams.

We're evolving how our team operates, moving beyond individual case investigations toward more proactive and repeatable detection capabilities. You'll work alongside experienced Asset Protection professionals, combining their operational knowledge with advanced analytical methods to strengthen how we identify, investigate and prevent loss across the business.

What You’ll Do:

• Investigate complex fraud, internal theft and loss prevention concerns using transactional, operational and customer data from multiple enterprise systems.
• Develop and maintain SQL queries, analytical datasets and exception-based reporting to identify suspicious activity and produce actionable investigation files.
• Work closely with investigators and Asset Protection partners to understand emerging fraud patterns and translate those findings into repeatable detection logic.
• Identify opportunities to automate manual investigative processes and develop reusable analytical tools that improve the team’s efficiency and effectiveness.
• Analyze large datasets to identify trends, anomalies, relationships and potential risks, validating findings to ensure accuracy and reduce false positives.
• Lead the development and enhancement of recurring and ad hoc reporting, dashboards and analytical solutions.
• Support the preparation of investigative case files and provide clear, evidence-based findings to field Asset Protection teams.
• Collaborate with Fraud Analytics, Data Engineering, Technology and business partners to improve data access, analytical capabilities and fraud detection methods.
• Translate complex analytical findings into clear recommendations for business stakeholders and senior leadership.
• Support ongoing reporting and investigative activities while contributing to the modernization of the team’s analytical approach.

What You Bring:

• Post-secondary education in Data Science, Computer Science, Statistics, Mathematics, Business or a related discipline, or equivalent practical experience.
• Strong SQL skills, including the ability to independently query, join and analyze large datasets across multiple sources.
• Experience working with enterprise data platforms such as Google BigQuery, GCP or comparable cloud-based environments.
• Demonstrated ability to approach ambiguous problems, develop analytical hypotheses, investigate findings and draw actionable conclusions.
• Experience developing reusable queries, automated reporting, dashboards or other analytical tools.
• Strong analytical curiosity, critical thinking and attention to data quality and accuracy.
• Advanced Excel skills and experience with reporting and visualization tools.
• Ability to communicate complex analytical findings clearly to both technical and non-technical stakeholders.
• Strong organizational skills and the ability to manage competing priorities in a dynamic environment.
• Experience with Python, Power BI, Looker Studio, MicroStrategy or similar analytical tools is an asset.
• Experience in fraud analytics, risk management, retail Asset Protection, Loss Prevention or another investigative discipline is an asset.

What Success Looks Like

You'll be comfortable moving between detailed investigations and broader analytical problem-solving. Beyond identifying individual cases of suspicious activity, you'll recognize opportunities to turn investigative findings into reusable detection methods that allow the team to identify similar risks across the business.

Your contributions will help strengthen the team's investigative capabilities while reducing reliance on manual, case-by-case analysis and enabling more proactive fraud detection

If you’re up to the challenge, then we would love to hear from you. Apply today, and get the process started.

Loblaw 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. At Loblaw, we celebrate diversity and strive to build a culture of inclusion where differences are embraced, valued and supported. We are committed to being an equal opportunity employer and encourage people from all backgrounds and identities to apply to our jobs. Accommodation in the recruitment, assessment, and hiring process is available upon request for applicants with disabilities.

We thank all candidates for their interest but please note, those candidates who meet the minimum requirements for the position will be contacted.

www.Loblaw.ca/careers

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.

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.

Hiring Range / Échelle salariale à l’embauche :$80,000.00 - $110,000.00 / 80.000,00$ - 110.000,00$ (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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