Senior Analyst Digital Marketing

Pay Range: $70,000 - $100,000

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.

Are you someone who thrives on helping others succeed, enjoys making an impact, and takes pride in guiding customers to the right solutions for their projects? If you’re also naturally curious and eager to keep learning, consider starting or growing your career with us at The Home Depot.

Position Overview:

The Senior Analyst for Digital Marketing Analytics works work closely with Marketing, Media, and e-commerce teams to measure campaign performance, identify optimization opportunities, and support the scaling of high-performing digital marketing initiatives.

This role requires a strong understanding of digital media, marketing channels, customer behaviour, campaign measurement, and analytics. The ideal candidate is highly analytical and can recommend actionable insights based on data to improve media efficiency and support full funnel strategies.

Core deliverables include regular campaign analysis; building reporting dashboards; supporting test design; and conducting quarterly business reviews and deep-dive analyses.

Key Responsibilities:

• Conduct regular digital marketing and media performance analysis to identify opportunities for campaign improvement, optimization, and scale
• Analyze campaign performance across channels (e.g., paid search, paid social, display, video, DOOH, owned channels, etc.)
• Partner with Marketing and Media teams to understand campaign objectives, define KPIs, and develop measurement plans
• Identify opportunities to improve media efficiency, including audience targeting, budget allocation, creative performance, channel and funnel mix, and campaign timing
• Build and maintain reporting dashboards as needed by business stakeholders
• Create and analyze audience segments for campaign targeting and reporting
• Translate campaign results and customer insights into clear, actionable business recommendations
• Analyze test-and-learn initiatives, including A/B tests, holdout tests, geo-tests, and audience tests where applicable
• Support analytics strategy in developing and improving measurement frameworks, reporting standards, and anomaly detection
• Communicate findings clearly through presentations, dashboards, summaries, and executive-ready recommendations
• Respond to ad hoc requests for analysis, data and information on a regular basis.
• Responsible for sourcing, cleaning, summarizing, and analyzing data from multiple data sources

Competencies:

• Collaborates
• Action Oriented
• Drives Results
• Communicates Effectively
• Plans and Aligns

Skills:

Media Acumen and Stakeholder Engagement

• Strong understanding of digital marketing, media performance, and campaign measurement
• Experience in analyzing media channels such as paid search, paid social, display, video, programmatic, email, affiliate, or owned digital channels.
• Strong ability to identify campaign improvement opportunities and recommend actions to optimize spend, targeting, creative, channel and funnel mix, and audience strategy.
• Strong storytelling skills with the ability to simplify complex analysis into clear business recommendations.
• Pragmatic approach to data analysis to insights generation with proven ability to deliver actionable insights that influence marketing strategy and campaign execution.

Technical and Analytics

• Strong experience with SQL for data extraction, transformation, and analysis. Experience using Python, R, or other statistical tools for advanced analytics is an asset.
• Experience in building dashboards and reports using tools such as Tableau and Looker
• Experience in with web analytics tools such as Adobe Analytics or Google Analytics is an asset.
• Familiarity with media platforms such as Google Ads, Meta Ads, DV360, TikTok Ads, Pinterest Ads, or other digital advertising platforms is an asset.

Measurement and Testing

• Understanding of marketing KPIs such as impressions, clicks, CTR, CPC, CPM, CPA, ROAS, conversion rate, revenue, etc.
• Experience with campaign measurement approaches such as pre/post analysis, incrementality testing, A/B testing, audience testing, attribution, or marketing mix modeling is an asset.

Ways of Working

• High level of attention to detail and strong follow-up skills.
• Excellent listening and communication skills, both verbal and written.
• Self-starter with the ability to work independently with general guidance.
• Team player with high energy, curiosity, and demonstrated initiative.

Direct Manager/Direct Reports:

• Reports to Manager of Digital Marketing Analytics

Travel Requirements:

• Limited

Physical Requirements:

• Extended Sitting
• Repetitive Tasks

On-site:

• 5 days in office
• Travel to store location at least once a quarter

Working Conditions:

• Working in an office setting, computer work, camera on virtual meetings

Minimum Education:

• University degree in Mathematics/Statistics, Marketing, Business Intelligence or related field.

Minimum Years of Work Experience:

• 4+ Years of experience in Database marketing and/or business intelligence role (preferably in a retail environment or media)
• 3+ years of experience using tools such as SQL, Python, R, Tableau, Looker
• Media, Retail, or e-Commerce experience is an asset

Minimum Leadership Experience:

• Stakeholder management is an asset

Certifications and Other Requirements:

• None
• Certifications in Google Analytics, Google Ads, Meta Ads, TikTok Ads, Adobe Analytics, Tableau, or cloud/data platforms are considered assets
• Working knowledge and experience with BigQuery

Other Requirements/Assets:

• Familiarity with any cloud platform
• Familiarity with dashboarding tools such as Tableau or Looker
• Familiarity with Big Data Architectures (tools and applications)

In our commitment to efficiency, consistency, and a fair hiring experience for all candidates, The Home Depot Canada usesArtificial Intelligence (AI) technology to assist with the screening and assessment of applicantsfor 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.