Retail Operations Analyst

Hiring
Analyst (Retail Operations and Business Data Analyst)
. Preference will be given to candidates whose resumes clearly meet the required experience and requirements outlined below. Professionals with suitable experience may send their updated resume to

Requirement Summary

• Client Location
  : Toronto, Ontario
• Vacancy Status
  : Open/Existing
• Working Environment:
  4 days per week in the office
• Hourly Compensation
  : $27- $33 per hour in pocket as T4. The final compensation will be negotiated between the contractor and recruiter based on experience and engagement terms.

Position Overview
: As a Fulfillment & Operations Analyst, you will play a crucial role in growing and enhancing our in-store fulfillment business, including "Buy Online, Pick-up In Store (BOPIS)" and store-based delivery. This role involves using data analysis to drive operational excellence, boost customer and store engagement, and support strategic growth in e-commerce. The analyst will examine sales, operational metrics, and customer behavior to pinpoint areas for improvement and ensure a smooth online shopping experience.

Key Responsibilities:

• Extract, manipulate, and analyze large datasets to uncover insights that improve customer engagement, drive conversion, and increase sales.
• Build, enhance, and automate weekly reporting and forecasting to track sales performance, on-site/in-app customer engagement, and operational results.
• Analyze various datasets, including web analytics and sales data, to support business decisions for campaigns, merchandising, marketing, product, and cross-functional initiatives.
• Collaborate with BI and Digital Implementation teams to improve data accuracy, accessibility, and automation.
• Track, analyze, and measure operational results across all eCommerce locations, identifying areas to drive growth and efficiency.
• Evaluate current in-store Standard Operating Procedures (SOPs) related to key focus areas such as store capacity, order immediacy, and product availability, and recommend improvements.
• Extract actionable insights from diverse data sources to guide improved operational execution and support new locations and expansions.
• Develop core relationships with cross-functional teams, including product management, tech, communications, and store operations, to improve product availability, customer order satisfaction, and store operations.

Qualifications & Required Experience/Skills for this Role
:

• Completion of a Bachelor's degree (e.g., BA, BCom, Mathematics, Economics, Engineering) or a related field.
• Exceptional analytical skills with a strong curiosity to delve deep into data to solve complex business problems.
• Proficiency with Excel and SQL is essential.
• Experience with data visualization tools such as Looker, LookerML, Power BI, MicroStrategy, or Google Cloud Platform (GCP) to build and automate reporting is an asset.
• Strong preference for candidates with experience in web analytics tools (e.g., Adobe Analytics, Google Analytics, Snowplow Analytics).
• Excellent communication skills with the ability to cross-collaborate effectively and support projects to completion.
• A team player with a true passion for customers and a proactive approach to dealing with ambiguity and self-organizing multiple tasks in a fast-paced environment.
• Ability to understand existing processes and effectively contribute to building and implementing changes.
• Detail-oriented with a clear focus on quantitative results.
• 1-3 years of experience in the retail business is an asset.
• Willingness to continually improve processes through innovative, strategic thinking.
• Ability to travel up to 25% as needed.

How to Apply
: Please email me your up-to-date Resume/CV at

We appreciate all the applicants for their interest in working with us; however, only those candidates shortlisted for the next steps in the hiring process will be contacted.

Thank you, and have a wonderful day