Director, Analytics

Brookfield Properties•Charleston, SC

20h•Onsite

About The Position

The Director, Analytics will lead the analytics function supporting Maymont Homes’ U.S. Housing platform across Single-Family and Multifamily. The role leads a team of analytics professionals and partners with business leaders, Product, Technology, and Engineering to deliver analytics that produce measurable business impact. It will establish a repeatable operating model for moving from business questions to insights and decisions, and strengthen business intelligence and visualization through Power BI and AI-assisted tools. The Director will integrate historically separate Single-Family and Multifamily teams, processes, and tools while continuing to support each business. This is a player-coach role: the Director will work directly with data and analytical problems as needed while coaching, motivating, delegating to, and empowering the team. Success requires business judgment, technical credibility, and strong stakeholder and relationship-building skills. The role owns the analytics roadmap, leads Power BI dashboards and reporting, establishes consistent analytics, visualization, and KPI standards, and improves the efficiency, quality, adoption, and business impact of analytics. It also supports reliable data and reporting, maintains analytical documentation, identifies and escalates material data-quality and delivery risks, and prioritizes work according to business impact, resources, and dependencies. Performance is assessed by roadmap alignment, adoption and impact of analytical products, progress integrating the two business areas, analytics quality and timeliness, cross-functional relationships, and development of an increasingly autonomous team.

Requirements

Bachelor’s or master’s degree in Data Science, Statistics, Economics, Finance, Computer Science, Engineering, or a related field.
8–10+ years of experience in analytics, business intelligence, data science, or a related field, including experience leading teams.
Strong experience with Power BI and data visualization.
Advanced SQL skills and experience working with Amazon Redshift or similar cloud data platforms.
Proficiency in Python for analysis, automation, and prototyping.
Working knowledge of predictive analytics, statistical modeling, forecasting, and segmentation.
Familiarity with AI and generative AI tools and their practical application to analytics delivery and decision-making.
Demonstrated ability to translate business needs into analytical solutions and prioritize work based on business impact.
Strong communication, leadership, and relationship-building skills with technical and business stakeholders.
Experience partnering across Product, Technology, Data Engineering, and Software Engineering teams.
Familiarity with Git, Agile development methodologies, and collaborative software development practices.

Nice To Haves

Experience in real estate, asset management, financial services, or a related industry.

Responsibilities

Leverage AI and generative AI tools to accelerate analytics delivery, augment decision-making, and improve the speed, quality, and reach of insights.
Partner with Product, Technology, and Engineering to deliver scalable analytical products and capabilities.
Remain hands-on as needed in SQL, Python, Redshift, Power BI, and analytical models.
Apply predictive analytics, segmentation, forecasting, and other advanced techniques when they create meaningful business value.
Own and manage the analytics roadmap, balancing business priorities, resources, dependencies, and long-term strategic needs.
Lead the development of Power BI dashboards and reporting, and establish consistent analytics, visualization, and KPI standards across the platform.
Continuously improve the efficiency, quality, adoption, and business impact of the analytics function.
Maintain consistent definitions, visualization standards, and trusted KPIs across the U.S. Housing platform.
Maintain appropriate analytical documentation and partner with Technology and Engineering on reliable data and reporting.
Identify data-quality and analytics-delivery risks and escalate material issues as appropriate.
Prioritize analytics work by measurable business impact, resource needs, and delivery dependencies.
Monitor adoption, quality, timeliness, and business impact of Power BI dashboards and other analytical products.
Support efficient analytics delivery and responsible allocation of team resources.
Lead, coach, and develop the U.S. Housing analytics team across Single-Family and Multifamily, encouraging ownership, delegation, and empowerment.
Partner with business stakeholders to identify high-value opportunities, translate business questions into actionable solutions, and communicate priorities, recommendations, and tradeoffs effectively.
Drive continued integration of Single-Family and Multifamily analytics teams, capabilities, and processes.
Perform other duties as assigned to support business objectives.