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Sr. Platform Analyst

Job in Toronto, Ontario, C6A, Canada
Listing for: Loblaw Companies Limited
Full Time position
Listed on 2026-02-14
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Scientist, Data Warehousing
Salary/Wage Range or Industry Benchmark: 60000 - 82500 CAD Yearly CAD 60000.00 82500.00 YEAR
Job Description & How to Apply Below

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.

THE OPPORTUNITY

We are seeking a highly analytical and user-centric Sr. Platform Analyst, Data Product to assist the planning and the enablement of Loblaw’s Data Products portfolio. This role is pivotal in converging operations data, business strategy and user experience, building analytical solutions, reporting, and supporting day to day operations to maintain best in class data products experiences for internal teams and external vendor partners when accessing Loblaw’s data platforms.

This role combines analytics, stakeholder management and product-driven thinking to enhance the value, usability, and adoption of Loblaw Data, Insight and Analytics (LDIA) and future data products.

KEY

ACCOUNTABILITIES
  • Partner with Product, Go-To Market, Support, and other business stakeholders (e.g., Category, Sales, Revenue Management) to understand requirements and translate them into scalable data and analytics solutions to bring Data Product to life and enable smooth post-launch operations.
  • Design testing plans and perform rigorous QA to ensure data accuracy and functional integrity of existing and new product releases.
  • Analyze user behavior within the data platforms; track usage, adoption, and commercial KPIs to identify trends and opportunities. Synthesize complex measurements into clear reporting and actionable insights to inform business and product decisions.
  • Assist day-to-day operation of LDIA via keeping track of on-going issues, actively participate in investigation and troubleshooting process; document and report key findings to inform interim and long-term product strategy.
  • Develop and maintain comprehensive documentation for the platforms, including KPIs, Metrics definitions and Product features to ensure clarity and consistency for all users. Support the development, ensure integrity and accuracy of Job Aids, Training and Go-to-Market materials.
ROLE EVOLUTION

Current State Focus:
Optimize existing LDIA reports, understand user pain points, work alongside cross functional teams to resolve pain points, ensure data quality, and drive incremental improvements.

Future State Focus:
Analyze user interactions with AI-driven insights, evaluate conversational interfaces, measure proactive recommendations, and contribute to the refinement of AI models for intelligent, personalized insights within LDIA Agentic.

CORE SKILLS AND QUALIFICATION

Education:

Bachelor's degree in Business, IT, CS or related quantitative field.

Experience:

3+ years in a Product Analyst, Data Analyst, or BI role, preferably product-centric.

Analytical

Skills:

Strong problem-solving, logical reasoning, and ability to draw conclusions from disparate and complex data.

Technical

Skills:

  • SQL for data extraction and manipulation.
  • Proficiency in data visualization tools (e.g., Looker, Qlik).

Communication:
Exceptional written and verbal communication; ability to articulate complex insights to diverse audiences.

Business & Product Acumen:
Deep understanding of business goals, market dynamics, product lifecycle, and user experience principles.

Industry

Experience:

Retail analytic or CPG experience is a strong asset, specifically hands-on experience in research firms (such as Nielsen, Ipsos, Numerator…) or CPG BI/BA team.

Adaptability:
Eagerness to learn and adapt to new technologies, especially Generative AI and agentic systems.

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…

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