Manager, Loyalty Analytics

Home Depot; United States; Remote; USD 90,000 - 120,000; Full time

Job summary

Join Home Depot to drive customer loyalty through analytical initiatives. You'll work with cross-functional teams to turn complex customer data into impactful insights that enhance engagement and retention. This role requires strong analytical skills, effective communication, and a background in data visualization, making you a key player in shaping our data-driven strategies.

Qualifications

• Master's degree or MBA preferred.
• Strong SQL proficiency with experience in Python or R is a plus.
• 4 years of experience in analytics/statistics in business or marketing contexts.

Responsibilities

• Analyze customer data to identify key trends and develop actionable solutions.
• Create presentations that summarize complex analyses and inform decisions.
• Build relationships with business partners and coordinate analytics resources.

Skills

Strategic thinking

Data analysis

Communication

Data visualization

Project management

Statistical analysis

Education

Bachelor's degree

Master’s degree or MBA

Tools

SQL

Tableau

Power BI

Looker

SAS

Python

R

Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.

Position Purpose:

Fuel the future of loyalty at The Home Depot by turning customer member data into bold insights and actionable insights. This role leads and supports analytical initiatives that uncover key drivers of customer engagement, retention, and value. Partners closely with Strategy, Product, Marketing, Operations, and executive leadership to develop scalable tools, dashboards, and analyses that enable data-driven decisions across the loyalty lifecycle. Drives a deeper understanding of member behavior and segments, fueling strategies that strengthen program enrollment, frequency, and spend. Acts as a strategic thought partner across the enterprise to champion customer-centric thinking and deliver measurable business impact through loyalty-focused analytics.

Key Responsibilities:

• 10% Partner with the business to conceptualize business issues and translate into appropriate analytical approaches
• 30% Analysis of large amounts of customer data to isolate key trends and business opportunities and develop actionable solutions and recommendations
• 30% Development and delivery of effective presentations that summarize complex analyses and inform business decisions
• 20% Coordination of the activities of internal and outsourced customer analytics resources
• 10% Build trusted relationship with business partners

Direct Manager/Direct Reports:

• Position reports to Director CI Analytics
• No direct reports

Travel Requirements:

• Typically requires overnight travel 5% to 20% of the time.

Physical Requirements:

• Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:

• Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.

Preferred Qualifications:

• Master’s degree or MBA
• Demonstrated experience applying analytics/statistics in business or marketing contexts
• Deep understanding of customer and transaction-level data
• Strong SQL proficiency; experience with additional programming (e.g., Python, R) a plus
• Skilled in creating clear, strategic narratives through dashboards and presentations
• Retail industry knowledge or strong interest in consumer behavior
• Expertise in data visualization, using tools like Tableau, Power BI, or Looker

Minimum Education:

• The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education:

• No additional education

Minimum Years of Work Experience:

• 4

Preferred Years of Work Experience:

• No additional years of experience

Minimum Leadership Experience:

• None

Preferred Leadership Experience:

• None

Certifications:

• None

Competencies:

• History of outstanding performance in strategic thinking and analysis
• Experience managing all aspects of discrete projects/workstreams (relationship management, data collection, analysis, interpretation, document development, communication)
• Ability to develop frameworks and approaches to break complex business questions into addressable pieces
• Experience extracting data from and manipulating large data sets (using SAS, SQL, R, etc.)
• Familiarity with data mining statistical methods (Regression, factor analysis, clustering, etc.)
• Experience with creative data visualization techniques
• Experience developing executive-ready communication materials and presenting them to senior stakeholders
• Ability to work closely with peers and manager in flat team structure
• Demonstrated history of continuously learning new analytical techniques and approaches
• Ability to interpret and translate outputs from complex analyses into business language