Data Analyst
Posted Updated 5
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About the Role:
We are looking for a Data Analyst who will transform complex business, customer, and platform data into actionable insights that drive operational efficiency and strategic decision-making. This role is key in identifying trends, optimizing processes, and supporting data-driven decisions for both internal stakeholders and customers.
If you have a strong analytical background, expertise in predictive analytics, and a passion for leveraging data to create meaningful business impact, this role is for you!
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 business 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:
🔹 4+ years of experience in a data analytics role.
🔹 Strong proficiency in data visualization tools (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 (preferred).
🔹 Must be able to report in-person
Why Join Us?
🚀 Make an impact by driving data-driven decision-making.
📊 Work with cutting-edge tools and technologies in analytics.
🤝 Collaborate with cross-functional teams in a dynamic environment.
Ready to take your data analytics career to the next level? Apply now! 🚀