HR Analytics Analyst

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

Position Purpose:

To build and govern the HR data foundation that People Analytics, Data Science and HR leaders rely on. This includes engineering tested, version-controlled data pipelines in Google BigQuery; keeping access to sensitive HR and payroll data controlled and auditable; and documenting data so people and AI tools can find, trust and use it. The role also runs the team’s request intake and shares first-responder duty when a pipeline breaks.

Key Responsibilities:

• Conduct analyses of varying complexity, of Home Depot's HR, Payroll and related business data and processes with emphasis on identifying trends, determining root cause of problems and determining solutions to manage them and that drive effective business decisions
• Coordinate the design, development and implementation of analytical tools, technology and business solutions that improve HR and business decisions and that drive operational efficiency.
• Gather functional requirements , maintain documentation, and develop project plans and status reports used for managing Analytics projects and that guide the development activities of IT and HR Services supporting staff
• Design and develop dashboards, reports, presentations and visual aids designed to educate, inform and influence the decisions of HR clients and business leaders within Home Depot.
• Educate and raise the awareness of business leaders and internal HR clients regarding availability and use of analytical tools, techniques and the opportunities that exist with strategic use of Home Depot's HR information assets.

Direct Manager/Direct Reports:

• Typically reports to Sr. Manager of HR Services
• No associates report to this role on a permanent basis.

Travel Requirements:

• Typically requires overnight travel less than 10% 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:

• Advanced SQL in Google BigQuery or a similar cloud data warehouse.
• Experience building data pipelines with Git and a SQL pipeline tool such as Dataform or dbt.
• Experience automating processes with Python or Microsoft Power Automate.
• Experience testing data with assertions, reconciliations and quality checks.
• Clear technical writing, such as runbooks and data documentation.
• Experience with HR, payroll or workforce data, ideally from Workday or UKG.
• A plus: Google Cloud basics (IAM, Cloud Storage), data catalog or governance tools, AI document processing (such as Document AI or Gemini), or experience working with RPA teams.

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:

• 2

Preferred Years of Work Experience:

• No additional years of experience

Minimum Leadership Experience:

• None

Preferred Leadership Experience:

• None

Certifications:

• None

Competencies:

• Strong analytical skills including the ability to assimilate extensive data and provide actionable recommendations
• Quantitative reasoning skills, including the ability to work with numbers and to summarize data into graphical or tabular forms
• Project management experience, consulting and facilitation skills
• Solid communications and interpersonal skills; ability to develop effective business relationships and build consensus
• Strong presentation skills. The ability to present, explain and discuss results of analyses to effectively drive fact-based decision making within all levels of the organization
• Knowledge of HR and Payroll processes and supporting systems.
• Sound business judgment.
• The ability to prioritize and manage multiple issues, and effectively manage risks