Logo of Huzzle


• Starts Sep 8

Analyst, Co-op

🚀 Off-cycle Internship


AI generated summary

  • You need a degree in Business, Math, or Engineering, with experience in Retail, CPG, or Telecom. Strong data skills, teamwork, and Excel proficiency are a must. Bonus points for SQL, Python, and business acumen.
  • You will analyze loyalty campaign performance, develop strategy, deliver reporting, provide ad-hoc analysis, and leverage customer data to drive business insights for Shoppers Drug Mart and Joe Fresh.

Off-cycle Internship



  • We are hiring a Analyst, Loyalty & Consumer Insights      
  • Reporting to the Senior Manager Loyalty & Consumer Insights, the Analyst will be responsible for providing objective, value-added analysis and recommendations to facilitate discussions & decisions related to high profile initiatives at Shoppers Drug Mart and Joe Fresh. 


  • University degree in Business, Economics, Mathematics, Engineering, or Computer Science
  • Professional or co-op experience is an asset. Ideally in Retail, CPG industry, Consumer Finance, or Telecommunications
  • Ability to synthesize large amount of data into insights
  • Strong interpersonal skills and comfortable collaborating within cross functional team
  • Demonstrated strong business acumen
  • Advanced knowledge of MS Excel
  • Basic knowledge of MS Access, SQL, Python is an asset

Education requirements

Currently Studying

Area of Responsibilities



  • Support the execution of loyalty campaigns at Shoppers Drug Mart and Joe Fresh
  • Support the development of loyalty offer strategy. Optimize loyalty investment to maximize incremental sales and profit
  • Deliver weekly reporting on loyalty campaign performance, and operational KPIs
  • Support marketing and digital teams on ad-hoc analysis and leverage customer data to deliver meaningful insights to drive business strategy
  • Synthesize large amounts of data from multiple sources, including customer transaction data, consumer & syndicated research, market share, and campaign results. Extrapolate and interpret appropriate information to deliver value add recommendations


Work type

Full time

Work mode


Start date

Sep 8, 2024