Data Analyst
Job Description:
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.
Key Responsibilities:
? 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.
Requirements:
? 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.
Level: Mid-Level
Reports To: CTO
Vacancies: 1
Travel Required: No travel required
Visa Support: No visa sponsorships supported
Location: Scottsdale, AZ (Must report in-person)
Salary Range: $80,000 - $125,000 USD
This position is ideal for individuals passionate about data analytics, business intelligence, and predictive modeling who thrive in a fast-paced, innovative environment.
Apply Now
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.
Key Responsibilities:
? 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.
Requirements:
? 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.
Level: Mid-Level
Reports To: CTO
Vacancies: 1
Travel Required: No travel required
Visa Support: No visa sponsorships supported
Location: Scottsdale, AZ (Must report in-person)
Salary Range: $80,000 - $125,000 USD
This position is ideal for individuals passionate about data analytics, business intelligence, and predictive modeling who thrive in a fast-paced, innovative environment.
Apply Now