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Sr. Manager Data Analytics
Sr. Manager Data AnalyticsHome Depot • Atlanta, GA, US
Sr. Manager Data Analytics

Sr. Manager Data Analytics

Home Depot • Atlanta, GA, US
30+ days ago
Job type
  • Full-time
Job description

Supply Chain Analytics Manager

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

Position Purpose :

The role requires critical thought leadership focused on developing analytical processes, tools, and strategy for driving improved performance throughout the supply chain. This role is responsible for managing an organization that spans a wide-range of functional and technical skillsets. This role helps to drive analytical initiatives to tangible results meeting and exceeding the supply chain's operational and financial targets. The role requires considerable analytical and technical skills, ability to effectively describe those processes to leadership, and successfully drive implementation. The role requires strong partnership & communication skills with operational teams.

Key Responsibilities :

  • 15% - Capital Planning - Establishes short and long range capital plans and executes projects in a timely and fiscally responsible manner with utmost customer satisfaction.
  • 20% - Implementation - Develops, plans and implements department's goals and objectives.
  • 15% - Problem Solving - Provides sophisticated and scalable solutions when confronting challenging analytical and technical challenges.
  • 50% - Team Leadership - Manages, develops, and maintains a team dedicated to analytics projects throughout numerous elements of the supply chain.

Direct Manager / Direct Reports :

  • This Position typically reports to Director Supply Chain Analytics.
  • This role has 2 direct reports.
  • Travel Requirements :

  • Typically requires overnight travel less than 5% 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 18 years of age or older.
  • Must be legally permitted to work in the United States.
  • Preferred Qualifications :

  • Working knowledge of Tableau
  • Working knowledge of presentation software (e.g., Microsoft PowerPoint)
  • Proficient with data mining software (e.g., IBM Cognos Business Intelligence, Hadoop)
  • Demonstrated ability to collaborate and work effectively with cross-functional teams
  • Ability to develop and apply advanced mathematical / statistical techniques
  • Ability to draw accurate conclusions from financial documentation
  • Demonstrated project management skills
  • Ability to convey complex or technical ideas and processes in easy-to-understand terms to diverse audiences
  • Excellent written and verbal communication skills
  • M.S. in Computer Science, Math, Engineering, supply chain or related quantitative field
  • Work experience with SQL Server, Teradata, Oracle, or comparable database systems
  • Expert knowledge in large scale information retrieval and statistical 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 :

  • The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job.
  • Minimum Years of Work Experience :

    Preferred Years of Work Experience :

    Minimum Leadership Experience :

    Preferred Leadership Experience :

    Certifications :

  • None
  • Competencies :

  • Business Insights
  • Builds Effective Teams
  • Cultivates Innovation
  • Ensures Accountability
  • Communicates Effectively
  • Customer Focus
  • Develops Talent
  • Connecting End to End Impacts
  • Translating Complexity
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