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    Sr. Analyst, Business Intelligence - Atlanta, United States - The Home Depot

    The Home Depot
    The Home Depot Atlanta, United States

    1 week ago

    The Home Depot background
    Description

    Position Purpose:


    The Pricing Sr Analyst, Business Intelligence will be responsible for the development of new analytics and metrics on diverse datasets to deduce insights and solve real-world business problems in support of the Pricing team initiatives.

    This includes partnership in conception, data analysis, data staging, visualization and automation, as well as user support on various data needs.

    The Sr Analyst should be an advocate for implementing pricing best practices across the Pricing Team and The Home Depot.

    They will have end-to-end accountability for business intelligence deliverables: analytics and reporting using SQL and BI tools, backend and front-end development and support activities.

    Key Responsibilities:

    25% Data analytics with large volumes of data, including data cleansing, validation, testing; Storytelling and advanced problem solving
    25% Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to understand business problem and design high quality analytics solutions
    25% Develop business intelligence visualization deliverables
    25% Research and document best practices and standards for using our BI tools and solutions


    Direct Manager/Direct Reports:
    This position reports to the Manager or Sr. Manager.
    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.
    Experience working with SQL Server, Teradata, Oracle or comparable database system
    Experience working with large scale information retrieval and data analysis


    Preferred Qualifications:
    Bachelor Degree in a quantitative discipline
    Intermediate to advanced level experience with one of visualization business intelligence tools: MicroStrategy or Tableau.
    Advanced technical skills to retrieve, manipulate, analyze and interpret large amounts of data (>1 billion rows).
    A thorough understanding of SQL and experience working with any cloud based database systems (Google BigQuery, Azure, Amazon Redshift).
    Experience with other scripting/programming language (VBA, Python, R, SAS, .NET, C++, Java).
    Experience with business requirements gathering/analysis. Experience working with non-technical business owners sponsors during project data modeling phase.


    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:

    3

    Preferred Years of Work Experience:
    No additional years of experience


    Minimum Leadership Experience:
    None


    Preferred Leadership Experience:
    None


    Certifications:
    None


    Competencies:


    Critical thinking skills to identify the strengths and weaknesses of alternative solutions; ability to understand and foresee implications of new information for current and future problems solving.

    An intellectual curiosity for getting at the underlying story being told within complex datasets.
    Strong written and verbal communications skills. Ability to persuade, inform, and influence others based on findings. A track record of taking complex results and communicating them in an easily understood way.
    Ability to build scalable systems and solutions that analyze huge data sets and make actionable recommendations.

    #J-18808-Ljbffr
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