Senior Data Analyst, Infrastructure Analytics - Atlanta, United States - HOME DEPOT U.S.A., INC.

Description

Position Purpose:
A Sr Data Analyst Supply Chain leverages proven technical abilities to synthesize complex analytical tasks into easily understood data-driven stories. Responsible for working collaboratively among other talented analysts to apply established and create new analytical processes on diverse datasets to deduce insights and solve real-world business problems. Also ensures that all reporting and analytical responsibilities are completed competently in a timely manner, continually seeks out opportunities to learn new and hone existing technical skills (e.g. writing SQL/code, statistics, machine learning, etc.) and 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, focuses on how the data analytics fits into the bigger picture
• 10% Develops additional technical competencies and subject matter expertise within 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 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:

• 2-4 years work experience in data mining, statistical analysis, auditing, and/or forecasting.
• An intermediary understanding of SQL or working directly with MS Access joining relational tables together and/or some knowledge of one other scripting/compiled/statistical programming 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 the relevant subject matter (e.g. Supply Chain, Merchandising, Operations, etc.)
• 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 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:

• Critical thinking skills to identify the strengths and weaknesses of alternative solutions; ability to understand and foresee implications of new information for current and future problems solving.
• An unquenchable intellectual curiosity for getting at the underlying story being told within the data.
• Strong written and verbal communications skills. Ability to persuade, inform, and influence others based on findings. A track record of taking complex results and communicating them in an easily understood way.
• Superior interpersonal skills and ability to collaborate actively and work in a team environment.
• Ability to quickly learn and adapt to new technologies, tools, and techniques.