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    Analyst, Industrial Engineering - Toronto, Canada - Loblaw Companies

    Loblaw Companies
    Loblaw Companies Toronto, Canada

    6 days ago

    Loblaw Companies background
    Full time
    Description

    Referred applicants should not apply directly to this role.

    All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

    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.

    Reporting to the Director, Industrial Engineering, the Industrial Engineer is responsible for performing data gathering and analysis functions to enhance the utilization of labour at store level in order to improve Customer Service, improve labour productivity, and minimize shrink and other expenses. You will play a key role and take initiative in conducting in-store time and process studies, developing labour models, data analytics and reporting initiatives. Engaging in collaborative projects with cross-functional teams, your analysis and input will help drive labour efficiency and encourage best practices in store processes while helping to determine the future design and model for our stores.

    What You'll Do:

  • Conduct in-store time-motion studies and develop labour models to support labour planning during the Common Year Planning process, while ensuring output complies with various policies, procedures and standards as well as best practices defined by National Operations
  • Maintain labour planning tools, labour standard and process library and plans studies at stores
  • Identify, validate, and drive new process improvement opportunities
  • Coordinate key strategic initiatives to ensure delivery of planned business targets
  • Management and maintenance of various regular analytical tools and reporting platforms
  • Providing ad-hoc analytical and support to the store operations teams
  • Gather data and evaluate processes through store studies to identify best practices and improvement opportunities by leveraging Lean Six Sigma methodologies
  • Responsible for identifying various process changes and enhancements in order to provide continuous improvements in the use of store resources.
  • Generate KPI reports and update metrics tracking solutions to provide analytical support to management and field resources
  • Develop from scratch various quantitative models and analysis to provide operations insights and support decision making (Simulations, optimizations, and other statistical analysis)

    • What You'll Need:

  • Proven capacity for working in a fast-paced and demanding environment
  • Expert level Excel skills with strong data analysis skills to work through complex analysis
  • Strong SQL skill and experience with data collection, data mining, data analytics and statistical analysis
  • Programming experience in JavaScript and VBA
  • Advanced knowledge of Microsoft products, specifically PowerBI reporting and any desktop automation methods
  • Experience with Time & Motion studies, process observations/documentations, and mathematical modeling of workplace processes
  • Strong knowledge of Operations Research, advanced statistical analyses and modeling
  • Retail sector knowledge/experience preferred with strong business acumen
  • Familiarity with labour scheduling methodologies
  • 10% travel, a vehicle and the ability to drive is required to accommodate travel within Canada to work in stores across the country
  • Candidates must be flexible to work in a Hybrid setting. Minimum 3 days a week of work in the office or in stores is required.
  • Occasional work over weekend and statutory holidays may be required to support business needs.

    • Experience

    2 years + experience with specialized knowledge in Data Analytics and Labour Management

    Education

    University degree in Engineering, Management Science, or related fields.

    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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