Analytics Manager (Decision Analytics)

The Home Depot • Atlanta, GA

3d

About The Position

This Manager Decision Analytics position manages people and processes related to developing advanced analytics that support the company’s strategic objectives. The role works cross-functionally with business partners from Merchandising, Finance, Operations, Supply Chain, and IT to design and implement decision analytics, tools, and new visibility and reporting capabilities. It creates analytics, translates business questions into actionable insights, supports ongoing analytical needs, designs new analytical platforms, and partners with cross-functional teams to deliver high-quality analytics solutions for The Home Depot. The role also communicates complex analyses as understandable insights and supports continuous learning and development for both the manager and the team.

Requirements

• Must be at least 18 years of age.
• Must be legally permitted to work in the United States.
• A bachelor's degree or equivalent degree in a job-related field, or the knowledge, skills, and abilities typically acquired through its completion.
• At least 4 years of work experience.

Nice To Haves

• Master's degree in Analytics, Finance, Information Systems, or a related field.
• 5–7 years of experience in analytics.
• Experience with SQL, SAS, Tableau, R, Python, and similar tools.
• Experience collaborating with stakeholders, business partners, colleagues, developers, and business analysts to deliver high-quality analytics solutions.
• Experience analyzing large volumes of data using database applications and analytical tools, including SQL, SAS, R, and Python.
• Experience coaching and developing team members to build technical, analytical, and business skills.
• Experience with data cleansing, validation, testing, end-user support, problem-solving, troubleshooting, and enhancements or modifications to systems and procedures.

Responsibilities

• Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high-quality analytics solutions.
• Analyze large volumes of data using database applications and analytical tools, including SQL, SAS, R, and Python.
• Perform data cleansing, validation, and testing.
• Make enhancements and modifications to systems and procedures.
• Support end users through problem-solving and troubleshooting.
• Coach and develop team members to build technical, analytical, and business skills.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager