Mark. num. chez Home Depot Canada à Toronto, ON  M3C 4H9

Vous aimez aider les autres à réussir et laisser votre marque? Vous éprouvez de la fierté à guider les clients vers les bonnes solutions pour leurs projets? Si, en plus de cela, vous êtes de nature curieuse et souhaitez acquérir de nouvelles connaissances, envisagez de commencer ou de faire progresser votre carrière chez Home Depot.
Our entrepreneurial spirit and innovative mindset, combined with the resources and support of The Home Depot Canada—the world’s leading home improvement retailer—offer a unique opportunity to join a transformative retail disruptor. As we grow our Orange Apron Media platform to offer world-class omnichannel advertising strategies for our partners, we invite you to join our rapidly growing and highly skilled Analytics team.
This role is responsible for delivering scalable analytical tools, and clear performance narratives that inform vendor strategy, media planning, and onsite inventory decision‑making. The role extends beyond reporting to include ownership of onsite ad inventory analytics and tool development, improving visibility into supply, demand, performance, and monetization efficiency.
The strategic impact of this role is that it enables data‑driven decisions on onsite inventory utilization, pricing, and optimization that will enhance the monetization of OAM with less underspend, higher inventory utilization, faster turnaround on campaign setup and mid-flight optimizations. Scales insights through standardized tools, frameworks, and repeatable reporting. Elevates OAM’s analytics maturity and credibility with vendors and internal leadership.
Key Responsibilities:     
               
Onsite Inventory Analytics & Tooling
Translate Raw ad-inventory data into useable formats for reporting and analysis
Design and maintain analytical tools to assess onsite ad inventory supply, demand, fill rates, and performance
Develop frameworks and KPIs to evaluate inventory efficiency by placement, format, category, brand, and time period
Partner with media sales and planning teams to identify inventory opportunities, constraints, and optimization levers
Insights, Optimization & Enablement
Conduct deep‑dive analyses to identify performance drivers, trends, and risks
Benchmark results against historical performance and OAM standards
Act as a trusted analytics partner to account management, media planning, and platform teams

Competencies:                                                                                                                                                
Technical skills: proficiency in SQL, Google BigQuery, Tableau, digital marketing platforms, ad server data
Business acumen: understanding of digital marketing landscape especially Retail Media platforms
Collaboration: strong communication skills and ability to work effectively with cross-functional teams including IT, Product, Marketing
Problem-solving: analytical mindset with focus on process optimisation and automation, ability to work with and make sense of new data sources
Data quality: commitment to accuracy, governance, and performance across large datasets           

Skills
Strong analytical and problem-solving abilities
Excellent organisational and time management skills
Effective interpersonal and communication skills for cross-functional collaboration
Ability to manage projects and adapt to change in a fast-paced environment
                                                                                                                                               
Direct Manager/Direct Reports:                                                                                                                                                               
Reports to Manager, Digital Marketing Analytics
                                                                                                                                               
Travel Requirements:                                                                                                                                                   
Limited
Travel to the stores quarterly
                                                                                               
Physical Requirements:                                                                                                                                               
Extended Sitting
Repetitive Tasks
                                                                                               
Location:                                                                                                                                                            
On site 5 days per week

Working Conditions:                                                                                                                                                     
Office
                                                                                                                                                               
Minimum Education:                                                                                                                                                    
Bachelor’s degree in Marketing, Analytics, Business, Applied Math, Engineering, or a related technical/quantitative field.
                                                                                                               
Minimum Years of Work Experience:                                                                                                                     
5+ years of experience in marketing analytics, data engineering or a related field.
Proficient in SQL, Tableau and one or more big data and BI technologies
Hands-on experience with Google Cloud Platform (GCP) services
Familiarity with data warehousing solutions like BigQuery, or Snowflake 
Experience with Retail Media platforms (like Vantage) or Ad Server data (Like Kevel) are a big plus                                                                                                               



The pay range for this position is between $62,200.00 - $70,100.00