Data Science Analyst

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.

About Loblaw Companies Limited:

As Canada's largest retailer, Loblaw is at the forefront of leveraging data and analytics to redefine the customer experience and optimize business operations. Our Data, Insights & Analytics (DIA) team is a pivotal force in this transformation, driving innovation and delivering strategic insights across the enterprise. We are seeking a talented and driven Data Science Analyst to join our dynamic team.

The Opportunity:

This is an exciting opportunity for a Data Science Analyst to contribute to high-impact projects and enterprise-wide analytical initiatives within a fast-paced and evolving retail environment. Reporting to the Senior Data Scientist, you will apply advanced analytical techniques to complex datasets, translating data into actionable insights that directly influence business objectives and strategic decision-making. If you are passionate about solving challenging problems with data, building robust analytical solutions, and making a tangible difference, this role is for you.

What You'll Do:

• Extract, analyze, and interpret complex information from diverse, large-scale enterprise datasets to uncover business insights, identify opportunities, and solve critical business problems, including retail demand forecasting and optimization.
• Design, develop, and implement end-to-end automated data pipelines and analytical workflows using Python to enhance efficiency, scalability, and reproducibility of data products and solutions.
• Translate complex business questions into clear analytical approaches and actionable insights. Collaborate cross-functionally with Product, Sales, Marketing, and Operations teams to support the development and operationalization of data products and empower business partners with self-service analytical capabilities.
• Develop, validate, and deploy statistical, descriptive, and predictive models to support various loyalty program initiatives, marketing campaign effectiveness, recommendation engines, and A/B testing.
• Design and build interactive and static data visualizations to effectively communicate complex insights to diverse stakeholders, enabling data-driven strategic business decisions.
• Ensure strict adherence to data security, confidentiality, and compliance guidelines, upholding the integrity and reliability of all data assets.
  
  

What You'll Bring:

• University Degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, Business, or a related quantitative field.
• 2+ years of hands-on experience in a data science or advanced analytics role, with a proven track record of applying analytical techniques to real-world business challenges.
• Strong programming skills in Python and SQL with a demonstrated ability to write modular, scalable, and clean code for data manipulation, analysis, and modeling.
• Experience with Git version control for collaborative development.
• In-depth knowledge and practical application of predictive modeling and machine learning techniques, including experience with retail demand forecasting and experimentation (A/B testing).
• Experience with cloud environments such as GCP, Azure, and Databricks is preferred.
• Retail analytics experience working with large-size enterprise datasets.
• Exceptional analytical and conceptual thinking skills, with the ability to break down complex problems, derive meaningful interpretations from data, and provide data-driven recommendations.
• Proactive, detail-oriented, and capable of managing multiple tasks and priorities in a dynamic, fast-paced environment.
• Excellent communication, presentation, and interpersonal skills, with the ability to effectively liaise with technical and non-technical stakeholders across all levels of the enterprise.
• Proficiency in MS Office Suite (Excel, Word, PowerPoint).
• Knowledge of Generative AI (GenAI) concepts and familiarity with agentic frameworks (e.g., LangGraph) is a significant asset.
  
  

Join Our Team:

If you are a self-starter with a passion for data and a desire to make a significant impact in a leading Canadian company, we encourage you to apply. Come innovate with us!

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.

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