Data Analyst
Job Description
Job Description:
\nThe 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.
\nKey Responsibilities:
\n- \n
- Conduct deep-dive analyses on complex datasets, using advanced analytical techniques to derive insights. \n
- Design, build, and deliver reports, dashboards, and data visualizations to empower customers and internal teams. \n
- Analyze customer data (qualitative & quantitative) to uncover trends and provide actionable insights. \n
- Develop and maintain a repository of standardized and customized reporting templates. \n
- Communicate complex data insights effectively to non-technical stakeholders across departments. \n
- Work cross-functionally with marketing, sales, product, and operations to align data projects with business needs. \n
- Perform ad-hoc analysis and translate findings into actionable recommendations. \n
- Collaborate with internal technical teams to improve data quality and enhance reporting capabilities. \n
- Design, develop, and implement machine learning models and forecasting techniques to predict construction project timelines and improve efficiency. \n
Requirements:
\n- \n
- 4+ years of experience in data analytics with strong problem-solving skills. \n
- Bachelor's Degree in Computer Science, Business Management, Engineering, Information Systems, Mathematics, Statistics, or equivalent relevant experience. \n
- Strong proficiency in statistical methods, data manipulation, and pattern identification. \n
- Ability to devise and test hypotheses, identify the right business questions, and implement research plans. \n
- Strong business acumen, with the ability to translate complex data insights into actionable business recommendations. \n
- 3+ years of experience working cross-functionally with business teams to align data projects with company goals. \n
- Proven ability to engage in independent data analysis that uncovers insights and drives business change. \n
- Expertise in data visualization tools (e.g. Quicksight, Tableau, Power BI). \n
- Experience with Predictive Analytics, including knowledge of predictive modeling, machine learning, and forecasting methods. \n
- Proficiency in Python and SQL for data analysis and automation. \n
- Advanced Excel skills, including macros, pivot tables, and complex formulas. \n
- Experience with Data Lakes and Cloud Platforms. \n
- Experience working in Agile methodology environments. \n
- Industry experience in home construction is preferred. \n
Level: Mid-Level
\nReports To: CTO
\nVacancies: 1
\nTravel Required: No travel required
\nVisa Support: No visa sponsorships supported
\nLocation: Scottsdale, AZ (Must report in-person)
\nSalary Range: $80,000 - $125,000 USD
\nThis position is ideal for individuals passionate about data analytics, business intelligence, and predictive modeling who thrive in a fast-paced, innovative environment.
