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Internship

• Starts Sep 8

Analyst, Co-op

🚀 Off-cycle Internship

Toronto

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

DataToronto

Description

  • 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. 

Requirements

  • 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

Data

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

Details

Work type

Full time

Work mode

hybrid

Start date

Sep 8, 2024

Location

Toronto