Data Analyst - Solutions Strategy, Analytics
The Home Depot, Atlanta, GA, United States
Position Overview
A Data Analyst Supply Chain leverages technical abilities to synthesize complex analytical tasks into easily understood data-driven stories. Responsible for working collaboratively with other analysts to apply established analytical processes on diverse datasets to deduce insights and solve real-world business problems. Ensures that all reporting and analytical responsibilities are completed competently in a timely manner, continually seeking opportunities to hone existing technical skills (e.g., writing SQL/code, statistics, machine learning) and learn new skills. Operates under the supervision and mentorship of more experienced managers and data scientists. Key Responsibilities
Executes existing reporting and analytical responsibilities Leverages data analytics tools to create new dashboards, reports, and ad-hoc requests Ensures the quality of work output with attention to detail Develops additional technical competencies and subject matter expertise within the core functional group Presents findings in easily understood ways, illustrating how data analytics fit into the bigger picture Direct Manager / Direct Reports
This position reports to 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 spent sitting in a comfortable position; occasional movement or lifting of 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
Work experience with SQL Server, Teradata, Oracle, or comparable database systems 1-3 years of work experience in data mining, statistical analysis, auditing, and/or forecasting Prior direct experience in analyzing the relevant subject matter (e.g., Supply Chain, Merchandising, Operations) B.S. in Computer Science, Math, Engineering, Finance or related quantitative field Minimum Education
The knowledge, skills and abilities typically acquired through the completion of a bachelor’s degree program or equivalent degree in a field related to the job Preferred Education
No additional education Minimum Years Of Work Experience
0 Preferred Years Of Work Experience
No additional years of experience Minimum Leadership Experience
None Preferred Leadership Experience
None Certifications
None Competencies
Critical thinking to identify strengths and weaknesses of alternative solutions and understand implications of new information for current and future problem solving Strong curiosity to uncover the underlying story within the data Excellent written and verbal communication skills to persuade, inform, and influence others based on findings Ability to present complex results in an easily understood way Superior interpersonal skills and ability to collaborate in a team environment Ability to quickly learn and adapt to new technologies, tools, and techniques
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A Data Analyst Supply Chain leverages technical abilities to synthesize complex analytical tasks into easily understood data-driven stories. Responsible for working collaboratively with other analysts to apply established analytical processes on diverse datasets to deduce insights and solve real-world business problems. Ensures that all reporting and analytical responsibilities are completed competently in a timely manner, continually seeking opportunities to hone existing technical skills (e.g., writing SQL/code, statistics, machine learning) and learn new skills. Operates under the supervision and mentorship of more experienced managers and data scientists. Key Responsibilities
Executes existing reporting and analytical responsibilities Leverages data analytics tools to create new dashboards, reports, and ad-hoc requests Ensures the quality of work output with attention to detail Develops additional technical competencies and subject matter expertise within the core functional group Presents findings in easily understood ways, illustrating how data analytics fit into the bigger picture Direct Manager / Direct Reports
This position reports to 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 spent sitting in a comfortable position; occasional movement or lifting of 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
Work experience with SQL Server, Teradata, Oracle, or comparable database systems 1-3 years of work experience in data mining, statistical analysis, auditing, and/or forecasting Prior direct experience in analyzing the relevant subject matter (e.g., Supply Chain, Merchandising, Operations) B.S. in Computer Science, Math, Engineering, Finance or related quantitative field Minimum Education
The knowledge, skills and abilities typically acquired through the completion of a bachelor’s degree program or equivalent degree in a field related to the job Preferred Education
No additional education Minimum Years Of Work Experience
0 Preferred Years Of Work Experience
No additional years of experience Minimum Leadership Experience
None Preferred Leadership Experience
None Certifications
None Competencies
Critical thinking to identify strengths and weaknesses of alternative solutions and understand implications of new information for current and future problem solving Strong curiosity to uncover the underlying story within the data Excellent written and verbal communication skills to persuade, inform, and influence others based on findings Ability to present complex results in an easily understood way Superior interpersonal skills and ability to collaborate in a team environment Ability to quickly learn and adapt to new technologies, tools, and techniques
#J-18808-Ljbffr