Data Analyst

Our platform delivers real-time job site intelligence and actionable reports that production builders and trades rely on to enhance the efficiency and profitability of construction processes. By offering comprehensive visibility into job site activity and unparalleled analytics of the construction process, we empower stakeholders to optimize operations, maximize resources, and accelerate quality home building. As a Data Analyst, you will play a pivotal role in transforming complex business, customer, and technical data into insights that drive strategic decision-making and operational excellence.

Responsibilities

• Conduct deep-dive analyses on complex datasets using advanced analytical techniques to uncover actionable insights.
• Design, build, and deliver reports, dashboards, and data visualizations that empower customers to fully leverage the platform.
• Analyze qualitative and quantitative customer data to identify trends, provide recommendations, and uncover opportunities for improvement.
• Develop and maintain a repository of standardized and customizable reporting templates to ensure efficiency and consistency.
• Communicate complex data insights clearly and effectively to stakeholders, including non-technical audiences.
• Collaborate with various departments—such as marketing, sales, product, and operations—to understand business needs and align data projects with organizational goals.
• Perform both ad-hoc and comprehensive analyses, translating findings into actionable insights for business leaders.
• Partner with technical teams to address data gaps, enhance data quality, and improve reporting capabilities.
• Design, develop, optimize, and deploy both traditional machine learning and deep learning algorithms, models, and applications.
• Implement forecasting techniques to predict construction project timelines, with an emphasis on reducing days under construction for new homes.
• Develop and implement machine learning models to extract deeper insights from the data.
  
  

Requirements

• A minimum of 4 years’ experience in a data analytics role with a strong foundation in problem-solving.
• Bachelor’s Degree in an analytical field (such as Computer Science, Business Management, Engineering, Information Systems, Mathematics, or Statistics) or equivalent relevant experience.
• Proven expertise in data analysis, including statistical methods, data manipulation, and pattern identification.
• A self-starter capable of devising and testing hypotheses, implementing research plans, and identifying the right questions to ask.
• Demonstrated experience working cross-functionally with teams in marketing, sales, product, and operations to drive data-driven decisions.
• Strong business acumen with the ability to translate complex data insights into actionable recommendations.
• Proficiency in data visualization tools (e.g., Quicksight, Tableau, Power BI).
• Experience in predictive analytics, including predictive modeling, machine learning, or forecasting methods.
• Proficiency in Python and SQL.
• Advanced Excel skills, including expertise with macros, pivot tables, and complex formulas.
• Proven experience developing solutions utilizing Data Lakes and working with Cloud platforms.
• Familiarity with Agile Methodology.
• Experience in the home construction industry is preferred.