Job description

We are seeking a talented and motivated Data Analyst to join our corporate team in Birmingham, Alabama or Charleston, South Carolina. This role will be pivotal in providing data-driven insights and recommendations to support four key departments: Real Estate, Marketing, Merchandising, and Finance. As a Data Analyst, you will play a crucial role in extracting, analyzing, and interpreting data to inform strategic decision-making across all areas of the business, optimizing performance, and driving profitability.

Responsibilities:

  • Data Collection and Management:
    • Collaborate with various departments to understand data needs and access points.
    • Extract, transform, and load data from diverse internal and external sources.
    • Clean and pre-process data for robust analysis.
    • Develop and maintain data pipelines and automate data processing tasks.
  • Data Analysis and Reporting:
    • Perform statistical analysis and identify trends and patterns in data relevant to each department's objectives.
    • Develop data visualizations and dashboards to communicate insights effectively to diverse stakeholders.
    • Create reports and presentations that summarize key findings and actionable recommendations.
  • Business Insights and Recommendations:
    • Translate data insights into actionable strategies and solutions for each department.
    • Support team leaders in identifying opportunities for improvement and optimizing operations.
    • Collaborate on cross-functional initiatives to drive greater customer engagement and revenue growth.
  • Research and Innovation:
    • Stay up-to-date on the latest data analysis tools and techniques, exploring their potential across departments.
    • Research and implement new data-driven approaches to enhance business performance and decision-making.
    • Foster a culture of data-driven decision-making across the organization.
Qualifications:

  • Bachelor's degree in Statistics, Mathematics, Computer Science, Business Analytics, or a related field.
  • Experience with GIS is preferred.
  • Proficient in data visualization tools (e.g., Tableau, Power BI).
  • Experience with SQL and scripting languages (e.g., Python) is a plus.
  • Passion for books and understanding of the retail industry is preferred.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration skills, with the ability to tailor presentations for diverse audiences.

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