Merchandise Analyst

at  Circle K

Toronto, ON, Canada -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate18 Oct, 2024Not Specified19 Jul, 20242 year(s) or aboveData Analysis,Writing,Mathematics,Powerpoint,Computer Science,Statistics,Business Analytics,Demonstration,ExcelNoNo
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Description:

JOIN OUR TEAM!

At Couche-Tard/Circle K, our mission is simple: to make our customer’s lives a little easier everyday. You may have already stopped for coffee, refueling your car, or eating something on the go. Then, you know what Couche-Tard/Circle K is. We have grown into a successful global company with over 16,000 stores in 29 countries, serving almost 9 million customers every day. In total, more than 150,000 people work in our stores and offices. We make journeys easier by offering fast and friendly service. We care about our people and our communities, and we look for ways to uplift people first. Wherever your journey’s going, we can help you get there. Are you ready to grow your career? Let’s grow together!

WHAT YOU’LL NEED

We want you to join our team! Here’s what we’re looking for:

EXPERIENCE:

  • Bachelor’s degree, or foreign equivalent, in Mathematics, Computer Science, Engineering, Statistics, Business Analytics or a related subject area followed by 2+ years of work experience on data analysis.

KNOWLEDGE AND SKILLS:

  • Proficient in MS Outlook, Excel, PowerPoint, and Word
  • Demonstrated ability to communicate effectively both verbally and in writing.
  • Ability to manage multiple activities and prioritize projects and tasks.
  • Demonstration of outstanding analytic skills, logical reasoning, data interpretation and the ability to resolve complex issues.
  • Experience working with individuals from different organizational functions and at different levels.
  • Retail experience is an asset.

Responsibilities:

THE ROLE

In the role of Merchandise Analyst, you will work alongside our Local Merchandising/Marketing teams, as well as our Global Merchandising Excellence and Data & Analytics organization. You will be an ambassador to Data Driven Merchandising (DDM) initiatives, facilitate data-driven decision making and information to both Local, National and Global teams on local business metrics and execution activities. You will support the use and adoption of analytical tools and resources. The ideal candidate has solid analytical and prioritization skills, as well as the ability to translate data into insights and actions. This role reports into the Merchandise Analytics Manager (MAM).

WHAT YOU’LL DO

Excited to embark on a journey with us? Here’s a breakdown of the key responsibilities in this role:

  • Responsible for loading and unloading delivery trucks.
  • Demonstrate thought leadership and be an Ambassador to Data Driven Merchandising initiatives and an enabler for data-driven decision making.
  • Analyze merchandise performance at the department, cluster, vendor, item, and location level, including analyzing store, regional, and business unit performance of pricing, promotion, and item assortment metrics.
  • Support MAM in documenting BU (Business Unit) level strategic decisions around pricing, promotions, and assortment.
  • Leverage available tools and reporting to provide timely insights on BU Merchandise performance in a way that facilitates data-driven decision making.
  • Organize, summarize, and visualize data into meaningful insights that communicate complex findings to non-analytical peers.
  • Mechanize driving insights into actions by working with cross-functional partners (i.e., Business Unit Marketing/Merchandising Teams, Global Promotional, Assortment Teams and Pricing Teams) to identify gaps and make recommendations to improve existing DDM tools and processes.
  • Use technical expertise to conceptualize and develop new, reusable tools, models, and approaches to provide our partners with insights and recommendations to meet business goals.
  • Actively support MAM on the annual DDM planning process for the business unit
  • Join our Global Analytical network on data and analytics issues and share experiences with other Business Units.
  • All other duties as assigned to achieve operational excellence in the business unit.
  • Maintain professional and technical knowledge by attending educational workshops, reading professional publications, establishing personal networks; or participating in professional societies.
  • Contributes to team effort by accomplishing determined Financial and Key Result Area targets pursuant to Company Plan guidelines.


REQUIREMENT SUMMARY

Min:2.0Max:7.0 year(s)

Information Technology/IT

Analytics & Business Intelligence

Other

Graduate

Computer Science, Business, Engineering, Mathematics, Statistics

Proficient

1

Toronto, ON, Canada