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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** MARK LUKACS RECRUITING LLC - **Location:** Scottsdale, AZ, United States - **Experience:** Experienced - **Salary:** $80,000.0 - $125,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Agile Methodology, Data Analysis, Cloud Computing, Information Systems, Customer Data Management, Data Files, Data Visualization, Excel Formulas, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Pivot Tables, Power BI, SQL Databases, Tableau (Software), Technical Data Management Systems, Data Processing, Scripting, Macros, Data Lakes, Information Technology, Data Analytics - **Published:** August 11, 2026 - **Apply:** https://www.careerbuilder.com/job-details/data-analyst-scottsdale-az--ae28e151-baf6-4374-9395-b9a99fd367b3 ## About the Role * 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 ## 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., * 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. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Crafting Custom Frameworks with Rust: A Deep Dive into Procedural Macros](https://www.wearedevelopers.com/videos/849-crafting-custom-frameworks-with-rust-a-deep-dive-into-procedural-macros) - [JavaScript? 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