Data Analyst - Rental

Home Depot • Atlanta, GA

1d • Onsite

About The Position

A Data Analyst leverages 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.). Operates with limited supervision and mentorship of more experienced managers and senior analysts. This position will serve as one of multiple analysts on the Rental Data Analytics team, which drives analytics and reporting to support key business decisions across the Rental organization. The position will be responsible for: Developing and maintaining scalable data models to drive revenue growth and optimize operational expenses across Rental, Creating and maintaining advanced SQL queries that power dashboards, Creating front end dashboards in tools like Tableau, Supporting Ad hoc analytics requests. The right candidate for this role will be curious, become an expert on Rental data, be a quick learner who can understand the business and dig deeply into specific experiences, and have strong logic and attention to detail. They will also have experience with SQL, Tableau, and Microsoft Excel, along with the ability to effectively leverage AI tools.

Requirements

• Must be 18 years of age or older.
• Must be legally permitted to work in the United States.
• Experience with SQL, Tableau, and Microsoft Excel.
• Ability to effectively leverage AI tools.
• 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.
• 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.
• 2 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.).

Nice To Haves

• Working knowledge of Microsoft Office Suite
• Ability to convey complex or technical ideas and processes in easy-to-understand terms to diverse audiences
• Prior direct experience in analyzing the relevant subject matter (e.g. Supply Chain, Merchandising, Operations, etc.).

Responsibilities

• Develops and maintains scalable data models to drive revenue growth and optimize operational expenses across Rental.
• Creates and maintains advanced SQL queries that power dashboards.
• Creates front end dashboards in tools like Tableau.
• Supports Ad hoc analytics requests.
• Presents findings in easily understood ways, focusing on how the data analytics fits into the bigger picture.
• Leverages data analytics tools to create new dashboards, reports, and any additional ad-hoc requests.
• Executes existing reporting and analytical responsibilities.
• Develops additional technical competencies and subject matter expertise within core functional group.
• Ensures the quality of work output by displaying a keen attention to detail.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level