Pay Range: $105,000 - $135,000

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.

The Customer Analytics Manager leads the development of customer and audience segmentation, and campaign measurement to support loyalty, personalization, and media initiatives. This role partners closely with Marketing, Loyalty, Personalization, and Media teams to define KPIs, build measurement plans, analyze performance, and translate customer data into actionable recommendations. The Manager also leads and develops a team of analysts responsible for dashboards, campaign reporting, test analysis, and strategic deep dives.

Core deliverables include customer / audience creation; regular campaign analysis; building reporting dashboards; supporting test design; and leading quarterly business reviews and deep-dive analyses.

               

Key Responsibilities:

                                                                                                                                               

Customer & Audience Analytics

• Lead customer segmentation, audience strategy, RFM/LTV analysis, basket analysis, and customer behavior insights.
• Identify trends and opportunities to improve loyalty, personalization, targeting, and campaign effectiveness.

Campaign Measurement and Testing

• Partner with Marketing, Loyalty, Personalization, and Media teams to define KPIs, measurement plans, and success criteria.
• Conduct regular loyalty and personalization analysis to identify opportunities to improve campaign efficiency, including customer segments, onsite and creative performance, campaign timing, and loyalty tactics covering multiple channels - email, onsite, paid media, promotions, and owned digital channels.
• Support test-and-learn programs, including A/B tests, holdout tests, geo-tests, and audience tests.
• Build and maintain dashboards, recurring reports, QBR materials, and executive-ready recommendations.

Analytics Leadership

• Improve measurement frameworks, reporting standards, anomaly detection, and analytics best practices.
• Lead, coach, and develop a high-performing team of Senior Analysts.
• Prioritize analytics work across recurring reporting, strategic deep dives, and ad hoc business requests.
• Responsible for sourcing, cleaning, summarizing, and analyzing data from multiple data sources. Oversee building and maintaining data pipelines.

Competencies:                                                                                                                                                            

• Develops Talent
• Decision Quality
• Plans and Aligns
• Ensures Accountability
• Instills Trust
• Manages Conflict
• Action Oriented
• Drives Results
• Communicates Effectively

Skills:                                                                                                                                                 

Customer Analytics and Marketing Measurement

• Strong experience with customer segmentation, RFM, LTV, basket analysis, audience analytics, and campaign measurement.
• Strong understanding of digital marketing, loyalty, personalization, media performance, and CRM analytics.
• Experience analyzing channels such as email, onsite, paid search, paid social, display, video, programmatic, affiliate, or owned digital channels.
• Ability to identify campaign improvement opportunities and recommend actions across audience strategy, targeting, creative, channel mix, timing, and loyalty tactics.
• Strong storytelling skills with the ability to simplify complex analysis into clear business recommendations.
• Pragmatic approach to data analysis to insights generation delivering actionable insights that influence loyalty and personalization strategies and campaign execution.

Technical and Analytics

• Advanced SQL experience for data extraction, transformation, and analysis.
• Experience with dashboarding and reporting tools such as Tableau, Looker, or similar.
• Experience with Python, R, or other statistical tools is an asset.
• Familiarity with web analytics tools such as Adobe Analytics or Google Analytics is an asset.
• Familiarity with statistical methods such as regression, clustering, factor analysis, and segmentation techniques.

Measurement and Testing

• Understanding of loyalty, email, personalization, and marketing KPIs such as CLTV, AOV, RPV, retention, engagement, conversion rate, incrementality, and ROAS.
• Experience with pre/post analysis, incrementality testing, A/B testing, audience testing, attribution, or marketing mix modeling is an asset.

Leadership and Ways of Working

• Experience in leading, coaching, and developing analysts.
• Strong stakeholder management and communication skills.
• Strong storytelling skills with the ability to simplify complex analysis into clear business recommendations.
• High attention to detail, strong follow-up skills, and ability to manage multiple priorities.
• Self-starter with curiosity, initiative, and a pragmatic approach to insight generation.                                                                                                                                

Direct Manager/Direct Reports:                                                                                                                                         

• Reports to Sr. Manager of Marketing Analytics

                                                                                                                                               

Travel Requirements:                                                                                                                                                

• Limited

                                                                                               

Physical Requirements:                                                                                                                                                          

• Extended Sitting
• Repetitive Tasks

                                               

On-site:                                                                                                                                                             

• 5 days in office [1 Concorde Gate, North York]
• 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.

                                                                                                               

Required Skills:

• 7+ years of experience in customer analytics, marketing analytics, business intelligence, or data science.
• 3+ years of people management experience.
• Advanced SQL experience.
• Experience with dashboarding tools such as Tableau, Looker, or similar.
• Experience analyzing CRM, loyalty, personalization, eCommerce, or digital marketing programs.
• Strong ability to translate analysis into business recommendations.

Preferred / Assets:

• Experience in retail, eCommerce, media, or loyalty.
• Experience with Python, R, or other statistical tools.
• Experience with BigQuery or cloud data platforms.
• Familiarity with Salesforce, Adobe, Marketo, Eloqua, Unica, or similar marketing automation platforms.
• Experience with incrementality testing, attribution, marketing mix modeling, or experimentation.                                     

Certifications and Other Requirements:

• None

                                                                                                                                                               

Other Requirements/Assets:                                                                                                                                               

• None

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.