Sr Data Analyst Labor

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

Position Purpose:

The Sr. Data Analyst-Labor, will leverage technical experience and abilities to analyze complex datasets to uncover operational insights, predict future outcomes and provide recommended actions.  This role will create data visualizations  to summarize analytical findings into easily understood outputs to drive business decisions.  This role collaborates with other analysts to support analytically-driven decisions across the Store Operations Labor Team.  

Key Responsibilities:

• 40% - Improve Labor and related business decisions that drive productivity in US Retail Stores - Coordinate the design, development, and implementation of analytical tools, technology and business solutions that improve Labor and business decisions that drive productivity in stores. Coordinate the design and development of dashboards, reports, presentations, and visual aids designed to educate, inform and influence the decisions of labor clients and business leaders. Identify new and different ways of providing business insight with enhanced technical capabilities. Provide business insight with enhanced technical capabilities, finding innovative ways to be proactive with industry trends and the needs of the Labor Team.  
• 40% - Leads analyses of moderate to high complexity for Home Depot's hourly payroll labor model to drive related business decisions and efficiency - Identify trends and provide analytical insight for labor model decision making for client group and leaders. Determine root cause of problems impacting labor and determine solutions based on analyses and datasets. Drive effective business decisions by providing analytical findings to a variety of client groups. 
• 20% - Support existing analytical tools and dashboards for process improvement - Develop additional technical competencies and subject matter expertise. 
   

Direct Manager/Direct Reports:

• This Position typically reports to the Data Analytics Manager- Labor
• This Position has up to 0 Direct Reports

Travel Requirements:

• No travel required.
   

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

Preferred Qualifications:

• Working knowledge of Microsoft Office Suite
• Working knowledge of Tableau
• Working knowledge of presentation software (e.g., Microsoft PowerPoint)
• Demonstrated ability to collaborate and work effectively with cross-functional teams
• Ability to develop and apply advanced mathematical/statistical techniques
• Ability to draw accurate conclusions from financial documentation
• Ability to convey complex or technical ideas and processes in easy-to-understand terms to diverse audiences
• Excellent written and verbal communication skills
• Proficiency in SQL/Big Query SQL, Tableau, and/or similar tools with a demonstrated ability to learn new technical skills and programs.
• Working knowledge of GenAI tools (ChatGPT, Copilot, Claude, Gemini

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:

• 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.
   

Minimum Years of Work Experience:

• 2
   

Preferred Years of Work Experience:

• 2

Minimum Leadership Experience:

• No previous leadership experience
   

Preferred Leadership Experience:

• No previous leadership experience

Certifications:

• None
   

Competencies:

• Action Oriented
• Decision Quality
• Manages Ambiguity
• Customer Focus
• Drives Results