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    Sr. Analyst, Business Intelligence - Atlanta, United States - Home Depot Management Company, LLC

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    Description
    Position Purpose:

    Sr. Analyst, Business Intelligence Pricing will support the efforts to provide subject matter expertise, and analytical support to the development, execution and reporting of Competitive Pricing Intelligence. The Sr. Analyst will perform data analysis, solve business questions using their proven technical abilities, provide insights and suggestions based on analytical results and judgement. The Sr. Analyst is responsible for working collaboratively among other talented analysts to apply established and create new analytical processes on diverse datasets to deduce insights and solve real-world business problems. The Sr. Analyst will support pricing managers and merchants by helping them understand their business, test pricing strategies, and achieve their objectives. Also ensures that all reporting and analytical responsibilities are completed competently in a timely manner, continually seeks out opportunities to learn new and hone existing technical skills and operates under minimal supervision and mentorship of more experienced managers.

    Key Responsibilities:
    • 50% Lead all phases of a project's life cycle including defining the business need, establishing criteria and business requirements, understanding the impact to the business and designing and rolling out the project
    • 25% Serve as a subject matter expert and perform research and/or analysis within assigned projects or category of business
    • 25% Establish and report on metrics of assigned projects or categories to gauge business value
    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.
    Preferred Qualifications:
    • 1-3 years of work experience in data analytics, financial analysis, statistical analysis, or business intelligence.
    • B.S. in Analytics, Statistics, Finance, Math, Computer Science, or related quantitative fields. Master's degree is a plus.
    • Solid understanding of SQL, joining relational tables, exploratory data analysis, data validation and data pipeline creation/management.
    • Experience building reports/analyses/visualizations with analytical tools (e.g. Tableau, PowerBI, Excel, etc.)
    • Experience working within cloud data platforms (e.g. GCP, AWS etc.)
    • Some experience in one other scripting/compiled/statistical programming language (e.g. Python, R, etc.)
    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.


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