Director of Data and Analytics

Hillpointe•Winter Park, FL

18d

About The Position

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.

Requirements

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.

Nice To Haves

Experience with ETL tools, API integrations, and server optimization.
Familiarity with Microsoft Fabric and enterprise-scale data environments.
Leadership experience in building analytics teams.

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.