Analytics Manager (Decision Analytics)

Home Depot•Atlanta, GA

About The Position

The Analytics Manager (Decision Analytics) manages people and processes involved in developing advanced analytics that support The Home Depot’s strategic objectives. The role works cross-functionally with partners in Merchandising, Finance, Operations, Supply Chain, and IT to design and implement decision analytics, tools, and new visibility and reporting capabilities. Responsibilities include creating analytics, translating business questions into actionable insights, supporting ongoing analytical needs, designing analytical platforms, and partnering with cross-functional teams to deliver high-quality analytics solutions. The manager communicates complex analyses as understandable insights and supports continuous learning and the development of the team. The position reports to a Senior Manager, Decision Analytics, and has one direct report. Overnight travel is typically less than 10% of the time. The work is primarily performed in a comfortable indoor setting, mostly seated with frequent opportunities to move about; on rare occasions, light lifting or moving may be needed.

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 is typically required.
  • Minimum of 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, or 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 system and procedure enhancements or modifications.

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 and perform problem solving and troubleshooting.
  • Translate business questions and complex analyses into actionable, understandable insights.
  • Coach and develop team members’ technical, analytical, and business skills.
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