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Home Depot Data Analyst Jobs (NOW HIRING)

Home Depot

Senior Data Scientist, Delivery

Atlanta, GA · On-site

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position ... Make appropriate selection, utilization and interpretation of advanced analytical methodologies;

Home Depot

Online Sr Data Engineer (SEO) - Onsite

Atlanta, GA · On-site

$108K - $130K/yr

Online Data Engineer teams at The Home Depot translate business requirements and build the ... They create new data validation methods and data analysis tools. Data Engineers develop application ...

Home Depot

Senior Data Scientist, Online

Atlanta, GA · On-site

This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making. Sr. Data Scientists are expected to seek out business opportunities to leverage ...

Home Depot

Sr Analyst, Online Business Analytics

Atlanta, GA · On-site

$87K - $113K/yr

Join a team that helps shape the future of digital retail at The Home Depot. As a Senior Analyst, Online Business Analytics, you will use data to influence how millions of customers engage with ...

Jobs for Humanity

Data Analyst

Cincinnati, OH

... Inventory, Depot Operations, and Repair Operations-making sure everyone's on the same page ... SQL and data visualization tools (Excel, Power BI, Tableau, etc.). * Analytical mindset and ...

Home Depot

Analyst, Gift Card Sales

Atlanta, GA · On-site

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position ... Includes data gathering and root cause analysis. * 30% - Resolution Management - Manages the ...

Home Depot

Manager EDX Program Office

Atlanta, GA · On-site

... Home Depot. * Prepare and deliver high-level insights and recommendations based on multiple analyses of industry/ business, competitive landscape, consumer data for area of expertise. * Provide ...

Home Depot

Sr. Analyst, Supplier Excellence

Atlanta, GA · On-site

$83K - $110K/yr

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position ... Proven ability to analyze, evaluate, and interpret complex data; innate intellectual curiosity

Home Depot

Sr Analyst, Online Merch - Dropship

Atlanta, GA · On-site

$83K - $110K/yr

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position ... Proven ability to analyze, evaluate, and interpret complex data; innate intellectual curiosity

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Home Depot Data Analyst information

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How much do home depot data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for home depot data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a Home Depot data analyst?

A Home Depot Data Analyst is responsible for collecting, analyzing, and interpreting data to support business decisions across various departments. They work with large datasets to identify trends, improve operational efficiency, and enhance customer experiences. Analysts use tools like SQL, Excel, and data visualization software to report insights. They collaborate with teams in merchandising, supply chain, finance, and marketing to drive data-driven strategies. Strong analytical skills and attention to detail are essential for success in this role.

What are the typical daily responsibilities of a Home Depot data analyst?

As a Data Analyst at Home Depot, your day-to-day work commonly involves collecting, cleaning, and analyzing large data sets to identify trends and opportunities for operational improvement or sales growth. You may work closely with cross-functional teams—including marketing, supply chain, and merchandising—to develop dashboards, prepare reports, and deliver insights that inform business strategies. Collaboration is frequent, as you'll be expected to present your findings to both technical and non-technical stakeholders. This dynamic environment offers a mix of independent data analysis and teamwork, providing valuable exposure to various aspects of the company’s operations.

What are the key skills and qualifications needed to thrive as a Home Depot data analyst?

To excel as a Home Depot Data Analyst, you need strong analytical skills, proficiency in statistical methods, and at least a bachelor's degree in a related field such as statistics, mathematics, or computer science. Expertise with data visualization and analytics tools such as SQL, Tableau, Power BI, and familiarity with CRM or ERP systems are commonly required, and certifications like Microsoft Certified Data Analyst Associate can be valuable. Effective communication, attention to detail, and a proactive approach to problem-solving distinguish top performers in this role. These skills are crucial for transforming data into actionable business insights that drive decision-making and support key operational goals.

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Home Depot Data Analyst jobs near you
Infographic showing various Home Depot Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Senior Data Scientist, Delivery

Home Depot

Atlanta, GA • On-site

Full-time

Re-posted 3 hours ago

Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,482 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers

Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
We are looking for a Senior Data Scientist to support innovation and next-gen Delivery experience solutions for Home Depot. If you are tech-savvy, deeply passionate about Data-driven solutions, AI/ML tools and platforms as well as curious about understanding the complex processes behind important business decisions - please apply. The more specific technical requirements are mentioned below:
🔹 ML Depth - Solid hands-on experience with tree-based ranking and classification models (XGBoost, etc.) is table stakes, but practitioner-level depth with NLP, BERT-family embedding models, similarity search, DNNs or building multi-modal models will have an edge and be needed in the work. Expertise with these advanced models not needed, will get chance and time to learn on the job - but a headstart will help.
🔹 Deployment Mindset - You have taken models beyond notebooks - pipelines, non-prod deployments, and experience on Vertex AI pipelines and custom jobs.
🔹 Experimentation familiarity - You are not new to designing and reading an A/B test or other methods for measurement.
🔹 Familiarity with LLM/Agentic workflows - Recent hands-on experience with LLM pipelines, RAG, or working with LLMs programmatically in the last 12 months. Experience with Agentic workflows will stand-out during the interview process.
Key Responsibilities:
  • 35% Solution Development - Proficiently design and develop algorithms and models to use against large datasets to create business insights; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
  • 30% Project Management & Team Support - Work with project teams and business partners to determine project goals; Provide direction on prioritization of work and ensure quality of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team
  • 20% Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage
  • 15% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Define best practices and develop clear vision for data analysis and model productionalization; Contribute to library of reusable algorithms for future use, ensuring developed codes are documented

Direct Manager/Direct Reports:
  • This position reports to manager or above
  • This position has 0 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:
  • PhD in a quantitative field (Computer Science, Math, Statistics, etc.)
  • 6+ years of experience in business intelligence and analytics
  • Working knowledge of Microsoft Excel and Power Point
  • Proficient in a modern scripting language (preferably Python)
  • Proficient running queries against data (preferably with Google BigQuery or SQL)
  • Proficient with data visualization software (preferably Tableau)
  • Mastery utilizing statistical techniques to identify key insights that help solve business problems
  • Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
  • Demonstrated proficiency in predictive modeling, data mining and data analysis

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:
  • 5

Preferred Years of Work Experience:
  • No additional years of experience

Minimum Leadership Experience:
  • None

Preferred Leadership Experience:
  • None

Certifications:
  • None

Competencies:
  • Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
  • Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
  • Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
  • Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
  • Cultivates Innovation: Creating new and better ways for the organization to be successful
  • Customer Focus: Building strong customer relationships and delivering customer-centric solutions
  • Develops Talent: Developing people to meet both their career goals and the organization's goals
  • Directs Work: Provides direction, delegating and removing obstacles to get work done
  • Drives Results: Consistently achieving results, even under tough circumstances
  • Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
  • Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
  • Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

What Home Depot employees say

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About Home Depot

Sourced by ZipRecruiter

The Home Depot is the world’s largest home improvement specialty retailer, operating a vast network of warehouse-format stores across the United States, Canada, and Mexico. Founded in 1978, the company has established itself as the primary resource for building materials, lawn and garden products, and home décor. Its business model caters to two distinct customer bases: Do-It-Yourself (DIY) homeowners and "Pro" customers, such as professional contractors and tradespeople. Beyond product sales, the company offers an extensive suite of services, including professional installation and one of the largest tool rental operations in North America.

Industry

Retail, manufacturing and personal services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

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