Sr. Data Analyst Supply Chain

With a career at The Home Depot, you can be yourself and also be part of something bigger.

Key Responsibilities:
• Leverage 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.
• Ensure that all reporting and analytical responsibilities are completed competently in a timely manner, continually seek 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.
• Leverage data analytics tools to create new dashboards, reports, and any additional ad-hoc requests.
• Execute existing reporting and analytical responsibilities.
• Ensure the quality of work output by displaying a keen attention to detail.
• Present findings in easily understood ways, focuses on how the data analytics fits into the bigger picture.
• Develop additional technical competencies and subject matter expertise within core functional group.
• Telecommuting available.

Minimum Qualifications:
• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.
• Bachelor’s degree in Data Analytics, Business Analytics, Industrial Engineering, or a related field and 2 years of experience in a related occupation. Requires 2 years of experience in the following skills:
• MS Excel, MS Access, SQL Server, Teradata, Oracle;
• Writing complex SQL queries involving multiple joins, subqueries, Common Table Expressions (CTEs), and window functions;
• Performance tuning and query optimization for large datasets;
• Management of relational database schemas and writing stored procedures;
• Building interactive dashboards and visualizations tailored to different business needs;
• Using calculated fields, parameters, and level-of-detail (LOD) expressions;
• Performance optimization of Tableau workbooks and managing dashboard publication to Tableau Server or Tableau Online;
• Translating business questions into visual analytics solutions;
• Using programming languages (such as Python) for data wrangling, cleaning, and transformation (using libraries including Pandas and NumPy);
• Basic automation tasks, API integrations, and working with Jupyter Notebooks;
• Data pipelines and lightweight ETL workflows.

About Us

As the world’s largest home improvement specialty retailer, we operate over 2,200 retail stores across North America. All of our associates have one thing in mind — helping our customers build and improve their homes and businesses.