Web Analytics Lead

Pay Range: $95,000 - $125,000

At The Home Depot Canada, we want you to feel valued and supported. The pay range you see represents base salary only. In addition, your total rewards may include: semi-annual bonuses tied to business performance;
Deferred Profit-Sharing Program to assist with retirement savings; comprehensive paid benefits; a 15% discount on Home Depot stock purchases; and merit-based salary increases. We are committed to recognizing your efforts and supporting your growth with us.

Web Analytics Lead will play a key role within the Web Data Enablement and Analytics Reporting Team, providing leadership to drive data informed decision-making for our website and mobile app. Leveraging deep expertise in Adobe Analytics, this role will manage platform configurations, ensure data accuracy, and develop robust web analytics strategies. The Lead will mentor junior analysts and act as a key liaison across Product, Marketing, UX, and IT teams, translating business requirements into actionable web data solutions that enhance user experience and drive online business growth.

This role also involves conducting in-depth clickstream data analysis and collaborating with data engineering and other analytics teams to deliver enterprise-level dashboards and reports using tools like Tableau.

Key Responsibilities:

• Develop and execute web analytics strategy aligned with business goals, leading initiatives to enhance Adobe Analytics capabilities.
• Serve as a subject matter expert in Adobe Analytics, advising stakeholders on best practices and guiding them in creating self-serve reporting solutions.
• Collaborate with E-Commerce, Marketing, and IT teams to collect and translate business requirements into web data enablement in Adobe and actionable reporting solutions.
• Build and maintain scalable dashboards integrating Adobe Analytics and other data sources to deliver actionable insights on website performance and user behavior.
• Evaluate the impact of website user experience updates and marketing campaigns on KPIs such as TOF/BOF metrics, conversion rates, and user engagement, offering optimization recommendations.
• Define, monitor, and report on e-commerce KPIs (e.g., funnel performance) to identify trends, opportunities, and areas for improvement.
• Ensure data accuracy and platform performance by maintaining Adobe Analytics configurations and aligning data tracking with business needs and reporting requirements.
• Conduct in-depth clickstream data analysis, curate raw data for reporting, and collaborate with Data Engineering for seamless warehouse integrations.

Competencies:

• Collaborates
• Communicates Effectively
• Customer Focus
• Drives Results
• Manages Complexity

Skills:

• University Degree in analytics, BI, computer science, business, engineering or a related field
• 3+ years of progressive experience in digital analytics & reporting, with strong expertise in Adobe Analytics.
• Proficiency in digital analytics implementation, data analysis, and optimization to optimize user experience and conversion rates.
• Familiarity with SQL, GCP, and visualization tools such as Tableau or Looker is a plus.
• Strong analytical skills to assess sales impact, correlate data with customer touchpoints, and propose actionable improvements.

Direct Manager/Direct Reports:

• Reports to Manager, Ecomm Interconnected Analytics

Travel Requirements:

• None

Physical Requirements:

• None

Working Conditions:

• Office

Minimum Education:

• Degree

Minimum Years of

Work Experience:

• 3 Years

Minimum Leadership

Experience:

• 1 Year

Certifications:

• Adobe Analytics Certification – Good to have
• Adobe Qualified:
  Adobe Analytics Data Analyst
• Adobe Certified Expert - Adobe Analytics Business Practitioner

Other Requirements/Assets:

• N/A

Monday to Friday in office (1 Concord Gate, North York)

In our commitment to efficiency, consistency, and a fair hiring experience for all candidates, The Home Depot Canada uses Artificial Intelligence (AI) technology to assist with the screening and assessment of applicants for this position. This technology is used to quickly and consistently identify candidates whose skills and experience are the strongest match for the role. Our process is designed to ensure human oversight is maintained throughout the selection process.