Senior Developer, Item Data

Home Depot; Georgia; On-site; USD 110,000 - 150,000; Full time

Job summary

Home Depot in the United States seeks a Senior Developer, Item Data to own data pipelines and modeling, delivering a reliable source of truth and insightful visuals for strategy. This role bridges data engineering with business outcomes.

You will build reporting suites, partner with cross-functional teams, and translate complex datasets into actionable narratives for executives and operations. This position blends engineering excellence with a business-first mindset.

Qualifications

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.
• Bachelor's degree in Business, Analytics, Data Science, or a related field.
• 3-5+ years of experience in a data analytics role, preferably within a retail or merchandising environment.
• Proven expertise in manipulating and analyzing large datasets using SQL and/or other programming languages (e.g., Python, R) and working in GBQ.
• Significant experience with ETL frameworks and schema design.
• Strong proficiency with data visualization tools such as Tableau or Power BI.
• Excellent ability to communicate complex data concepts and recommendations to both technical and non-technical audiences, including senior leadership.

Responsibilities

• Architect and maintain sophisticated, scalable schemas that support complex product analysis, ensuring consistency across the catalog and disparate channels.
• Build and automate robust ETL workflows that apply rigorous validation to ensure high data integrity.
• Develop advanced dashboards and self-service reporting tools that translate multidimensional item data into clear, visual narratives for executive and operational stakeholders.
• Partner with site experience and merchandising teams to identify data opportunities and optimal communication networks to deliver predictive insights that support performance and lifecycle management.
• Define, plan and implement solutions on assigned moderately complex projects.
• Take business requirements and develop the total technical design on moderately complex projects and ensure proper usage as part of the design efforts in building a system to be put into production.
• Conduct appropriate test reviews for assigned projects and present to architecture review boards as necessary.
• Promote and follow the established processes, policies, standards and procedures to assure compliance with corporate and regulatory policies and standards.
• Provide technical direction to associate developers, developers and contractors.

Skills

SQL

Python

R

ETL

Data Visualization

Education

Bachelor's degree in Business, Analytics, Data Science, or related field

High School Diploma or GED

Tools

Tableau

Power BI

BigQuery

Job description

Position Purpose:

The Senior Developer, Item Data, serves as the technical authority for the lifecycle of product information, architecting robust data pipelines and sophisticated data models that ensure a reliable source of truth. This role bridges the gap between raw data and strategy by building intuitive reporting suites and high-impact visualizations that translate complex datasets into actionable narratives. As a proactive consultant to cross-functional partners, the candidate would be expected to identify emerging trends and deliver strategic insights before they are requested. This role is essential to optimizing item data integrity and driving data-informed decision-making across the enterprise, merging technical engineering excellence with a business-first mindset.

Responsibilities:

• Architect and maintain sophisticated, scalable schemas that support complex product analysis, ensuring consistency across the catalog and disparate channels.
• Build and automate robust ETL workflows that apply rigorous validation to ensure high data integrity.
• Develop advanced dashboards and self-service reporting tools that translate multidimensional item data into clear, visual narratives for executive and operational stakeholders.
• Partner with site experience and merchandising teams to identify data opportunities and optimal communication networks to deliver predictive insights that support performance and lifecycle management.

Key Responsibilities:

• 30% Define, plan and implement solutions on assigned moderately complex projects.
• 25% Take business requirements and develop the total technical design on moderately complex projects and ensure proper usage as part of the design efforts in building a system to be put into production.
• 20% Conduct appropriate test reviews for assigned projects and present to architecture review boards as necessary.
• 15% Promote and follow the established processes, policies, standards and procedures to assure compliance with corporate and regulatory policies and standards.
• 10% Provide technical direction to associate developers, developers and contractors.

Direct Manager/Direct Reports:

• Position reports to Manager, Online
• No direct reports

Travel Requirements:

• Typically 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:

• Bachelor's degree in Business, Analytics, Data Science, or a related field.
• 3-5+ years of experience in a data analytics role, preferably within a retail or merchandising environment.
• Proven expertise in manipulating and analyzing large datasets using SQL and/or other programming languages (e.g., Python, R) and working in GBQ.
• Significant experience with ETL frameworks and schema design.
• Strong proficiency with data visualization tools such as Tableau or Power BI.
• Excellent ability to communicate complex data concepts and recommendations to both technical and non-technical audiences, including senior leadership.

Minimum Education:

• The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.

Preferred Education:

• No additional education

Minimum Years of Work Experience:

• 3

Preferred Years of Work Experience:

• No additional years of experience

Minimum Leadership Experience:

• None

Preferred Leadership Experience:

• None

Certifications:

• None

Competencies:

• Ability to work independently with minimal direction.
• Ability to communicate issues and recommend solutions in a timely manner to Management.
• Strong decision making abilities.
• Experience developing new application systems for production.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.