Position Purpose:
Asset Protection Senior Data Analyst is responsible for identifying, distinguishing and analyzing multiple components of a problem and providing conclusions using high-level quantitative skills.
Responsibilities include but are not limited to: leading teams on projects, effective communication to teams and other leaders; querying, reviewing and understanding core retail data such as but not limited to shrink, markdown, returns and sales/financial data; identifying trends in business and the retail industry; and understanding key operational processes within the stores. This role also involves creating and supporting field-facing dashboards and tools that Asset Protection partners use in their daily routines.
This role requires a highly analytical and detail-oriented individual with a strong operational understanding and the ability to drive projects to successful completion.
Asset Protection Senior Data Analysts typically take direction from AP Managers, work cross-functionally and collaborate on assigned projects. Project management expertise, strong communication skills and cross-functionally partnering with all Asset Protection teams and others throughout Home Depot is critical for the success of an Asset Protection Senior Analyst
Key Responsibilities:
· Perform data gathering tasks and analytics - identify trends, develop solutions, project/strategy planning and data utilization
· Produce documents for teams and leadership to review and utilize. Deliver presentations to teams and executive leaders and sponsors. Synthesize findings and make recommendations to upper management.
· Build skills and knowledge including self-development, team knowledge and customer (internal) knowledge
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Preferred Qualifications:
• Strong project management and organizational skills with meticulous attention to detail, supported by a background in consulting or project management methodologies.
• Exceptional analytical and quantitative skills, including statistical analysis, data interpretation, and problem-solving.
• Proficiency in SQL (e.g., BigQuery, MySQL, DB2) and Python for data extraction, manipulation, and automation.
• Experience leveraging AI and Large Language Models (LLMs) to drive efficiency and derive insights.
• Familiarity with data governance best practices, including documentation and version control.
• Advanced Tableau skills for designing impactful dashboards that communicate key messages effectively.
• Proficient in Microsoft Office Suite (Excel, PowerPoint, Word).
• Strong understanding of merchandising, retail operations, field operations, and Asset Protection principles and practices.
• Demonstrated leadership attributes, including the ability to influence and drive results without direct authority, lead high-performing teams, and foster collaboration.
• Customer service mindset with a focus on understanding and meeting internal stakeholder needs.
• Effective communicator with the ability to deliver presentations to teams, executive leaders, and sponsors, clearly articulating complex analyses and implications.
• Commitment to self-development, team knowledge sharing, and deepening understanding of internal customer needs.
• Proven ability to work effectively in a collaborative team environment.
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