Job Description
Job DescriptionDescription:
ESSENTIAL DUTIES:
•Partner confidently with executive leadership, property management operators, and asset managers to align data initiatives with core business objectives, investment strategies, and critical information needs.
•Effectively communicate complex analytical insights and strategic recommendations to executive leadership, institutional partners, and key business stakeholders.
•Facilitate seamless, reliable access to actionable insights and analytical results across business units to foster a robust culture of data-driven asset management.
•Evaluate current portfolio-wide data infrastructure and identify gaps to maximize data-driven decision-making across the asset management platform.
•Spearhead the centralization of disparate departmental data silos into a unified data repository/data lake to ensure rapid accessibility and a single source of truth for portfolio analysis.
•Oversee the collection of structured and unstructured, internal and external market data for defined business use cases.
•Direct the storage and processing (mining, scrubbing, categorizing, and classifying) of complex datasets to ensure maximum usability for advanced analytical modeling.
•Perform descriptive, predictive, prescriptive, and inferential analysis on property and portfolio datasets to identify trends, risks, and opportunities.
•Evaluate property-level business processes against key metrics (efficiency, cost-variance, and ROI) and prepare strategic recommendations for operational adjustments and performance improvements.
•Author and optimize SQL queries within business intelligence tools to build complex calculated fields and robust data structures.
Requirements:
EDUCATION & SKILLS:
•Bachelor’s degree in finance, real estate, business, or a related field preferred.
•2–4 years of relevant experience in multifamily, real estate analysis, or a comparable financial discipline.
•Strong analytical background with proven experience evaluating multifamily investments and building financial models.
•Advanced proficiency in Excel with the ability to independently create detailed financial models.
•Proficient in PowerPoint with the ability to develop clear, data-driven presentations.
•Exceptional quantitative and analytical skills with a high level of accuracy and attention to detail.
•Self-motivated professional with a strong work ethic and ability to meet deadlines in a fast-paced environment.
•Adept at managing multiple assignments and performing under tight timeframes.
•Collaborative team player who demonstrates initiative, accountability, and problem-solving ability.