MN Custom Homes is looking to optimize performance across the organization by leveraging analytics, from land acquisition to customer satisfaction, and is seeking a Director of Analytics to spearhead this effort.
Requirements
- Experience with tools like Python, R, SQL, and data visualization platforms such as Tableau, Power BI, or Looker.
- Proven ability to apply advanced analytics to solve business problems, optimize operations, and identify new revenue opportunities.
- Expertise in building and managing business intelligence (BI) platforms to provide real-time insights and reporting.
- Experience in real estate, construction, or homebuilding is preferred but not required.
- Expertise in statistical modeling, predictive analytics, and data visualization tools (e.g., Tableau, Power BI).
- Well-versed across the entire data lifecycle (data pipeline management, data analysis, and visualization).
- Familiarity with financial modeling and key metrics in the homebuilding industry, such as IRR, ROI, and margin analysis.
Responsibilities
- Develops and mentors a high-performing analytics team, fostering a culture of curiosity, collaboration, and continuous improvement.
- Builds and leads a comprehensive analytics program that aligns with the company’s vision to be the premier infill homebuilder, focusing on market analysis, operational efficiency, and customer insights.
- Develops analytical models to evaluate, rank, and forecast land acquisition opportunities based on profitability, risk, and evolving market trends.
- Utilizes data analytics to optimize operations, reduce costs, and accelerate build timelines while upholding high construction quality standards.
- Leverages predictive analytics to forecast emerging trends, assess competitive positioning, and guide product offerings to maximize market share.
- Analyzes buyer preferences, demographics, and satisfaction metrics to enhance product design and marketing strategies.
- Synthesizes complex data from multiple departments (e.g. finance, sales, marketing) to create cohesive, actionable insights, weaving a clear narrative that drives strategic decision-making across the organization.
Other
- Bachelor’s degree in Mathematics, Engineering, Economics, Statistics, Data Science or a related field; Master’s degree preferred.
- 10+ years of professional experience including 3+ years’ experience at a senior leadership level.
- Advanced leadership development skills and experience empowering employees to do their best work.
- Excellent problem-solving skills with the ability to understand the “big picture”.
- Exceptional communication and influence skills, ability to use data-driven storytelling to communicate effectively and persuade certain actions or decisions of stakeholders at all levels.
