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• Starts Sep 8

Co-op, Analyst, PC Optimum Marketing, Fall 2024

🚀 Off-cycle Internship


AI generated summary

  • You must be a 2nd or 3rd year university student in Business, Economics, or related field. Strong analytical skills, curiosity, communication, and ability to work in a fast-paced environment are key. Excel proficiency, basic SQL knowledge, and willingness to learn new tools are essential. Retail experience is a bonus.
  • You will analyze marketing data, support strategic decisions, develop insights, ensure data accuracy, and collaborate with cross-functional teams at Loblaw.

Off-cycle Internship



  • As a Co-op Analyst, PC Optimum Marketing, you will support the PC Optimum Marketing team with campaign and audience strategy, reporting, and measurement. Your value-added analysis and recommendations will facilitate discussion & decisions related to marketing programs. Your role will also partner closely with cross-functional teams within Loyalty and Marketing, providing great exposure to different functions within Loblaw.


  • Be enrolled in 2nd or 3rd university, working toward a degree in Business, Economics, Mathematics, Engineering, or Computer Science
  • Ability to synthesize large amount of data into insights
  • Strong intuition for business
  • Curiosity and willingness to ask questions
  • Strong communicator skills and comfortable collaborating within cross-functional team
  • Excellent organization ability to stay on top of a multifaceted and fast paced business, while leading multiple assignments at a time
  • Strong teammate and self-starter
  • Strong attention to detail to ensure data accuracy and quality
  • Advanced knowledge of MS Excel
  • Basic knowledge of SQL is a must, Python is an asset
  • Capability to adapt to and learn new analytical tools such as GCP BigQuery, Audience Segmentation tool, Looker, etc.
  • Experience in Retail is an asset

Education requirements

Currently Studying

Area of Responsibilities



  • Complete regular analyses and support execution of weekly deployments, big bet campaigns and ad-hoc testing to ensure reliability, credibility and viability of conclusions and recommendations
  • Support the translation of marketing requests and questions into analytical problems. Requests can be strategic or tactical in nature, including but not limited to targeting, sizing, segmentation, development of dashboards, reports, and measurement
  • Report and visualize key business performance metrics to drive and support strategic decisions
  • Develop concise strategic customer insights from data analysis
  • Ensure accuracy of data and deliverables of reporting
  • Support extraction, review, and preparation of complex operational and customer behavior information from a variety of databases (GCP, Teradata, Looker, etc)
  • Use Cloud based SQL/Python environment to process big data (including customer, transaction, channel data etc.), conduct analysis, and visualizing the results
  • Across all of the above responsibilities, collaborate with cross-functional stakeholders including but not limited to marketing, digital and tech teams


Work type

Full time

Work mode


Start date

Sep 8, 2024