Data Analyst

The Data Analyst role is critical in converting complex business, customer, and technical data into actionable insights. These insights enhance operational efficiency, inform strategic decision-making, and maximize the potential of the company’s platform. The ideal candidate will have a strong blend of technical expertise and business acumen, using advanced analytics and reporting across an integrated technology stack., * Conduct deep-dive analyses on complex datasets, using advanced analytical techniques to derive insights.

• Design, build, and deliver reports, dashboards, and data visualizations to empower customers and internal teams.
• Analyze customer data (qualitative & quantitative) to uncover trends and provide actionable insights.
• Develop and maintain a repository of standardized and customized reporting templates.
• Communicate complex data insights effectively to non-technical stakeholders across departments.
• Work cross-functionally with marketing, sales, product, and operations to align data projects with business needs.
• Perform ad-hoc analysis and translate findings into actionable recommendations.
• Collaborate with internal technical teams to improve data quality and enhance reporting capabilities.
• Design, develop, and implement machine learning models and forecasting techniques to predict construction project timelines and improve efficiency.

• 4+ years of experience in data analytics with strong problem-solving skills.
• Bachelor’s Degree in Computer Science, Business Management, Engineering, Information Systems, Mathematics, Statistics, or equivalent relevant experience.
• Strong proficiency in statistical methods, data manipulation, and pattern identification.
• Ability to devise and test hypotheses, identify the right business questions, and implement research plans.
• Strong business acumen, with the ability to translate complex data insights into actionable business recommendations.
• 3+ years of experience working cross-functionally with business teams to align data projects with company goals.
• Proven ability to engage in independent data analysis that uncovers insights and drives business change.
• Expertise in data visualization tools (e.g. Quicksight, Tableau, Power BI).
• Experience with Predictive Analytics, including knowledge of predictive modeling, machine learning, and forecasting methods.
• Proficiency in Python and SQL for data analysis and automation.
• Advanced Excel skills, including macros, pivot tables, and complex formulas.
• Experience with Data Lakes and Cloud Platforms.
• Experience working in Agile methodology environments.
• Industry experience in home construction is preferred., This position is ideal for individuals passionate about data analytics, business intelligence, and predictive modeling who thrive in a fast-paced, innovative environment., Agile Programming Methodologies, Analysis Skills, Automation, Business Intelligence, Business Skills, Cloud Computing, Computer Science, Construction Projects, Cross-Functional, Customer/Client Research, Data Analysis, Data Quality, Data Sets, Data Visualization, Data Visualization Tools, Financial Analysis, Forecasting, Information Technology & Information Systems, Machine Learning, Marketing, Mathematics, Operational Strategy, Pivot Tables, Power BI, Predictive Modeling, Problem Solving Skills, Process Improvement, Python Programming/Scripting Language, Quality Management, Reporting Dashboards, Reporting Skills, Residential Construction, SQL (Structured Query Language), Sales, Statistics, Tableau, Test Plan/Schedule