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About the Role:

This Data Analyst position plays a vital role in converting complex business, customer, and platform data into actionable insights. These insights will be crucial in enhancing operational efficiency and informing strategic decision-making for internal stakeholders and customers. The ideal candidate will have a strong analytical background, experience in predictive analytics and data visualization, and a passion for leveraging data to drive business outcomes.

Roles and Responsibilities:

  • Conduct deep-dive analyses on complex datasets using advanced analytical techniques.

  • Design, build, and deliver reports, dashboards, and data visualizations.

  • Analyze customer data to uncover trends, insights, and opportunities for improvement.

  • Develop and maintain a repository of standardized and customized reporting templates.

  • Communicate complex data insights effectively to non-technical stakeholders.

  • Collaborate cross-functionally with marketing, sales, product, and operations teams.

  • Partner with internal technical teams to enhance reporting capabilities.

  • Design, develop, and deploy machine learning algorithms and models.

  • Implement forecasting techniques to predict construction project timelines.

Job Requirements:

  • Minimum of 4 years of experience in a data analytics role.

  • Strong proficiency in data visualization tools (e.g., Quicksight, Tableau, Power BI).

  • Experience with predictive analytics, machine learning, or forecasting methods.

  • 3+ years of experience working cross-functionally across departments.

  • Advanced Excel skills (macros, pivot tables, complex formulas).

  • Proficiency in Python and SQL.

  • Experience developing solutions with Data Lakes and Cloud platforms.

  • Industry experience in home construction is preferred.

  • Candidate must be able to report in-person to a specific location.

Nice-to-Have Qualifications:

  • Experience in the construction or manufacturing industry.

  • Hands-on experience analyzing large, complex datasets in a multi-project environment.

  • Ability to conduct independent data analysis that drives organizational change.

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