Senior Data Analyst - Supply Chain Insights & Dashboards

The Home Depot; Atlanta (GA); On-site; USD 90,000 - 130,000; Full time

Job summary

The Home Depot in Atlanta is seeking a Sr Data Analyst in Supply Chain to translate complex datasets into clear, data-driven stories and actionable insights. You will collaborate with other analysts to apply established and new analytical processes across diverse data sources, delivering timely reporting and dashboards with minimal supervision.

Ideal candidates have 2–4 years in data mining, statistical analysis, and forecasting, plus intermediate SQL skills and experience building reports with

Qualifications

• 2–4 years work experience in data mining, statistical analysis, auditing, and/or forecasting.
• Intermediate SQL skills or experience with MS Access joining relational tables.
• Experience building reports/analyses with Excel/Tableau/SAS/SPSS.
• Prior experience in Supply Chain, Merchandising, or Operations is a plus.

Responsibilities

• Leverages data analytics tools to create dashboards, reports, and ad-hoc requests.
• Executes existing reporting and analytical responsibilities.
• Ensures the quality of work output with attention to detail.
• Presents findings in easily understood ways and shows how data analytics fit into the bigger picture.
• Develops additional technical competencies and subject matter expertise within the core function.

Skills

Data mining

Statistical analysis

Forecasting

Data storytelling

SQL querying

Education

Bachelor's degree in Computer Science, Math, Engineering, Finance, or related quantitative field

Tools

MS Excel

MS Access

SQL Server

Teradata

Oracle

Tableau

Job description

The Home Depot in Atlanta is seeking a Sr Data Analyst in Supply Chain to translate complex datasets into clear, data-driven stories and actionable insights. You will collaborate with other analysts to apply established and new analytical processes across diverse data sources, delivering timely reporting and dashboards with minimal supervision.

Ideal candidates have 2–4 years in data mining, statistical analysis, and forecasting, plus intermediate SQL skills and experience building reports with