MANAGER, CUSTOMER ANALYTICS

The Home Depot

4d•CA$70,400 - CA$79,100•Onsite

About The Position

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.

Requirements

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.
Advanced SQL experience for data extraction, transformation, and analysis.
Experience with dashboarding and reporting tools such as Tableau, Looker, or similar.
Understanding of loyalty, email, personalization, and marketing KPIs such as CLTV, AOV, RPV, retention, engagement, conversion rate, incrementality, and ROAS.
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.
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.

Nice To Haves

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.
Experience with pre/post analysis, incrementality testing, A/B testing, audience testing, attribution, or marketing mix modeling is an asset.
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.

Responsibilities

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.
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.
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.