New

Director of Data and Analytics

Hillpointe
United States, Florida, Winter Park
631 W Morse Blvd (Show on map)
Dec 04, 2025
WHY HILLPOINTE? Hillpointe is a fully integrated real estate development and investment management firm focused on developing market-rate workforce housing across the Sun Belt. Ranked at the top of NMHC's list of Builders and Developers, our team ensures best-in-class execution. Built on its long and proven track record of real estate development, the firm's investment approach is centered around its in-house general contracting expertise, enabling direct control of cost and delivery timeframe. For each project, Hillpointe directly controls land acquisition, land development, construction, procurement of building materials, asset management, and capital markets. This is more than just a job - it's a career-defining opportunity! At Hillpointe, you'll be part of a dynamic, innovative team that has tangible impacts on day-to-day operations and contributes directly to overall success. Director of Data and Analytics Position Overview: The Director of Data & Analytics will lead the organization's data strategy, analytics initiatives, and reporting capabilities to drive informed decision-making across all business units. This role combines technical expertise with strategic vision, ensuring data integrity, accessibility, and actionable insights. The ideal candidate will have a strong background in real estate analytics, advanced data tools, and leadership experience. Key Responsibilities: Data Strategy & Governance: Develop and implement a comprehensive data governance framework; Ensure data accuracy, security, and compliance across all platforms. Analytics & Reporting: Lead the creation of advanced dashboards and reports using Power BI and Excel for ad hoc and recurring needs; Deliver actionable insights for asset management, accounting, property management, centralized ops, HR, underwriting, and enterprise decision-making. Technology & Infrastructure: Oversee Azure environment, Microsoft Fabric management; Manage SQL Server environments, ETL processes, Microsoft Purview for meta data / data governance and API integrations. Advanced Analytics: Apply Python, AI tools, and data science techniques to optimize deal underwriting and predictive modeling. Collaboration: Partner with Asset Management, IT, and Enterprise Transformation teams to integrate analytics into business workflows. Leadership: Build and mentor a high-performing analytics team; Drive innovation in data utilization and reporting standards. Required Qualifications: Education: Bachelor's degree in Data Science, Computer Science, Finance, or related field; Master's preferred. Experience: 8+ years in data analytics or business intelligence roles; Proven experience in real estate analytics and financial modeling; Strong background in Excel (advanced formulas, pivot tables, VBA) and ad hoc reporting; Proficiency in SQL, Python, and familiarity with AI/ML tools; Experience with Power BI, Azure, and enterprise data platforms. Skills: Exceptional analytical and problem-solving abilities; Strong communication and stakeholder management skills; Ability to translate complex data into actionable business insights. Preferred Qualifications: Experience with ETL tools, API integrations, and server optimization. Familiarity with Microsoft Fabric and enterprise-scale data environments. Leadership experience in building analytics teams. *NOTE:* This document outlines the general nature and level of work expected from individuals in this role. It's important to understand that this is not an exhaustive list of responsibilities, duties, and skills. Additional tasks or job functions that can be safely performed may be required as necessary by supervisory personnel. This flexibility in additional duties showcases the company's adaptability and encourages employees to be versatile. The employee is expected to adhere to all work rules, procedures, and policies established by the company, including, but not limited to, those contained in the employee handbook.