Manager – People Analytics

The Home Depot

. Manage day-to-day activities and develop competencies of the HR Analytics team .

Posted 9/23/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in HR Analytics, data visualization, and project management while effectively leading and developing a team. Proficient in advanced statistical techniques and analytical tools to drive business decisions and support HR initiatives.

Highest-signal resume keywords

HR Analytics ManagementData Visualization (Tableau, Power BI)Project Management MethodologiesStatistical Analysis and ModelingTeam Leadership and Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonRAdvanced Spreadsheet AnalyticsStatistical TechniquesData GovernanceAnalytical Project ManagementBusiness Report DesignDashboard DevelopmentWorkflow Automation Tools

Soft Skills

Excellent Communication SkillsCoaching and MentoringChange ManagementTeam Culture DevelopmentStakeholder Engagement

Tools & Technologies

TableauPower BICloud-Based Data PlatformsRelational DatabasesExcelPowerPointGenerative AI ToolsLarge Language Model ToolsLow-Code/No-Code ToolsBusiness Intelligence Software

Industry Keywords

HRPayrollBenefitsFinanceRetailService-Based OrganizationData PrivacyEthical AI PracticesAnalytical ModelsBusiness Data Analysis

Tech Stack

Tools & technologies

CloudPythonSQLTableau

About the role

Key responsibilities & impact

Manage day-to-day activities and develop competencies of the HR Analytics team
Lead moderately to highly complex analyses of HR, Payroll, and related business data and processes
Identify trends, determine root causes, identify solutions, and drive effective business decisions
Coordinate design and development of dashboards, reports, presentations, and visual aids for HR clients and business leaders
Coordinate development and implementation of analytical tools, technology, and business solutions
Use project management methodologies, involve stakeholders, and communicate project status
Support HR initiatives through project planning and timely delivery
Provide communications, change management, and ongoing sustainability plans
Support hiring and onboarding new team members
Develop team culture, manage team responsibilities, coach, mentor, and evaluate performance
Report typically to the Senior Manager of HR Analytics
Manage 3–5 direct reports

Requirements

What you’ll need

Must be eighteen years of age or older
Must be legally permitted to work in the United States
Bachelor's degree or equivalent degree in a field related to the job
Minimum 5 years of work experience
2+ years of previous leadership experience
Working knowledge of Tableau, Power BI, or other data visualization and business intelligence software
Working knowledge of cloud-based data platforms and relational databases; SQL skills beneficial
Familiarity or working experience with generative AI and large language model tools is a plus
Familiarity or experience with Python, R, or similar scripting languages
Familiarity with low-code/no-code workflow automation tools is a plus
Understanding of data governance, privacy, and responsible/ethical AI practices
Experience with Excel and PowerPoint using advanced spreadsheet analytics
Ability to develop and apply advanced mathematical/statistical techniques
Ability to draw accurate conclusions from financial documentation
Experience with statistical analysis and modeling of business data, preferably in HR, Payroll, Benefits, and Finance within a retail or large service-based organization
Experience translating business questions/problems into analytical models
Experience managing analytical projects and developing actionable recommendations
Experience designing business reports, dashboards, and graphical presentations conveying analytical concepts
Strong ability to manage, lead, and develop a team
Excellent written and verbal communication skills

Benefits

Comp & perks

Full-time employment
Location-independent, commutable remote arrangement
Overnight travel typically less than 10% of the time