Sr. Data Analyst, Supplier Performance

Homedepot; United States; On-site; USD 110,000 - 150,000; Full time

Job summary

The Home Depot is seeking a Sr. Data Analyst, Supplier Performance to design analytical processes and automation tools that accelerate product insights and supplier KPIs.

You will work cross-functionally with Supply Chain, Product Management, IT, Finance, Operations, and Merchandising to translate business questions into rule-based analytics and influential presentations. The role emphasizes strong technical skills, data quality, and scalable data pipelines, with travel minimal and office-based

Qualifications

• Requires a bachelor's degree and 2+ years of data analytics experience.
• Strong SQL or Python abilities with large datasets.
• Experience building insights and reports with BI tools like Tableau or Looker.

Responsibilities

• Design and implement analytical processes and tools to automate insights.
• Partner with Supply Chain and IT to translate business questions into analytics.
• Develop and deliver presentations to drive data-informed decisions.
• Ensure data quality and scalable data pipelines.

Skills

SQL

Python

Tableau

Looker

Statistics

Google BigQuery

GitHub

VS Code

Education

Bachelor's degree

Tools

Google BigQuery

GitHub

VS Code

Job description

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

Position Purpose:

The Sr. Data Analyst, Supplier Performance will focus on developing analytical processes, tools, and strategy to support the team's goal to create and maintain automation tools to enable faster and more efficient products and provide greater insight into supplier KPIs. The role requires considerable analytical and technical skills, and the ability to effectively describe those processes to leadership.The individual will work cross-functionally withbusinesspartners from Supply Chain, Product Management, IT, Finance, Operations, and Merchandising to translate operational processes andbusinessquestions into rule-based analytics.

Key Responsibilities:

• 50% Design, implement and measure pricing actions to understand the trade-off between units, sales and gross margin. Utilize learnings to help merchants reach financial objectives
• 20% Conduct research to become subject matter expert on a specific segment of pricing and statistical analysis
• 10% Work across the organization and leverage cross functional teams to provide expert analytical support (i.e. domestic logistics or global supply chain costs
• 20% Develop and deliver influential presentations that summarize complex analyses and drive effective business decisions

Direct Manager/Direct Reports:

• This position reports to Manager.
• This position has 0 direct reports.

Travel Requirements:

• Typical 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:

• 4+ yrs business experience preferred
• Proficiency in findings insights using SQL (or Python) against large datasets
• Expertise in developing reporting using BI tools like Tableau or Looker
• Experience working in large data warehouse environments (preferably Google BigQuery)
• Experience with Github and VS Code
• Mastery utilizing statistical techniques to identify key insights that help solve business problems
• Demonstrated ability to collaborate and work effectively with cross-functional teams
• Ability to translate business requirements into analytical frameworks
• Strong attention to detail and commitment to data accuracy
• Understanding of how data schema impacts metric behavior and reporting
• Ability to design scalable data architectures and implement efficient data pipelines

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:

• Ability to learn very quickly and independently
• Business acumen
• Proven ability to analyze, evaluate and interpret complex data
• Strong communication skills: verbal and written
• Ability to build relationships and work cross functionally with business partners