Sr. Data Analyst - Delivery Efficiency

Overview

The Sr. Data Analyst – Delivery Efficiency role at The Home Depot leverages proven technical abilities to synthesize complex analytical tasks into easily understood data-driven stories. This position collaborates with other analysts to apply established and create new analytical processes on diverse datasets to deduce insights and solve real-world business problems. It ensures that all reporting and analytical responsibilities are completed competently and on time, and continually seeks opportunities to learn new and hone existing technical skills (e.g., SQL/code, statistics, machine learning).

It operates under minimal supervision and mentorship of more experienced managers and data scientists.

Key Responsibilities

• 30% Leverages data analytics tools to create new dashboards, reports, and any additional ad-hoc requests
• 20% Executes existing reporting and analytical responsibilities
• 20% Ensures the quality of work output by displaying a keen attention to detail
• 20% Presents findings in easily understood ways, focusing on how the data analytics fits into the bigger picture
• 10% Develops additional technical competencies and subject matter expertise within the core functional group

Direct Manager / Direct Reports

• This position reports to Manager or Sr Manager
• This position has no Direct Reports

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 with occasional movement; there may be a need to move or lift light articles on rare occasions

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

• 2-4 years work experience in data mining, statistical analysis, auditing, and/or forecasting
• Intermediary understanding of SQL or experience with MS Access joining relational tables; knowledge of one other scripting/compiled/statistical language (e.g., VBA, Python, R, SAS, .NET, C++, Java, etc.)
• Experience building reports/analyses with analytical tools (e.g., Excel, JMP, SAS, Mathematica, SPSS, Tableau, etc.)
• Prior direct experience in analyzing relevant subject matter (e.g., Supply Chain, Merchandising, Operations)
• B.S. in Computer Science, Math, Engineering, Finance, or related quantitative field
• Work experience with MS Excel, MS Access, SQL Server, Teradata, Oracle, or comparable database systems

Minimum Education

• The knowledge, skills and abilities typically acquired through the completion of a bachelor’s degree or equivalent in a related field

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

• Critical thinking skills to identify strengths and weaknesses of alternative solutions; ability to understand and foresee implications of new information for current and future problem solving.
• Strong intellectual curiosity for uncovering the underlying story in the data
• Strong written and verbal communication skills; ability to persuade, inform, and influence others based on findings; track record of communicating complex results clearly
• Superior interpersonal skills and the ability to collaborate in a team environment
• Ability to quickly learn and adapt to new technologies, tools, and techniques

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