Job Summary
We are seeking a highly experienced and strategic Senior Data Analyst with deep domain expertise in multi-family and/or single-family rental (SFR) real estate and advanced proficiency in Snowflake. Extensive hands-on experience with Yardi (Voyager preferred)—including operational, tenant/lease, and financial modules—is essential. The ideal candidate understands Yardi’s relational data model, tables, and business logic at a granular level and can translate that knowledge into accurate analytics, data validation, and strategic insights. This role drives high-impact decision-making across the portfolio by leading complex analytical projects, establishing data governance standards, and converting sophisticated analyses into clear executive recommendations. The Senior Analyst will also mentor junior analysts and own key analytical initiatives from concept to implementation.---
Key Responsibilities
Strategic Analysis & Business Impact
· Lead end-to-end analytical projects focused on key Real Estate initiatives, such as portfolio optimization, asset performance forecasting, and identifying high-value investment opportunities.
· Develop and present executive-level insights and strategic recommendations to senior leadership across Asset Management, Acquisitions, and Property Operations.
· Design, build, and maintain complex analytical models (e.g., pricing models, predictive occupancy) using advanced SQL and Python/R.
· Proactively identify and frame complex business problems within the Real Estate lifecycle (e.g., tenant turnover drivers, cost optimization) that can be solved with data.
Data Leadership & Governance
· Act as the primary subject matter expert for Real Estate operational and financial data within the Snowflake data warehouse, overseeing data lineage and data dictionary management.
· Establish and enforce rigorous data quality and governance standards across all key datasets, working with Data Engineers to implement monitoring and audit frameworks.
· Mentor and provide technical guidance to junior analysts on best practices for SQL, data validation, analytical methodology, and reporting.
· Serve as the analytical lead for migrating legacy data infrastructure and reporting processes into robust, scalable Snowflake-backed solutions.
Stakeholder Partnership
· Cultivate strong partnerships with senior business stakeholders to deeply understand their strategic needs and translate them into precise analytical requirements.
· Own the development and continuous improvement of critical business intelligence dashboards in Power BI, ensuring they meet the needs of executive and operational users.
· Drive the adoption of data-driven decision-making processes across functional teams.
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Qualifications
Education & Experience
· Bachelor’s degree in a quantitative field (e.g., Data Science, Finance, Statistics, Engineering). Master's degree is a plus.
· 5+ years of progressive experience in data analysis or business intelligence, with increasing responsibility for project ownership and stakeholder management.
· Required: 3–5+ years of deep, hands-on experience with Yardi (Voyager preferred), including familiarity with its tables, modules, financial/operational schemas, and reporting constructs.
· Direct experience analyzing multi-family or single-family rental (SFR) operational and financial data.
· Experience with other Real Estate data sources (e.g., RealPage, MRI) is a plus.
Technical Expertise
· Expert-level proficiency in SQL (Snowflake-specific optimization experience highly preferred) for querying, performance tuning, and designing complex views.
· Advanced experience with one or more programming languages (e.g., Python or R) for statistical analysis, modeling, and automation.
· Deep understanding of Snowflake architecture, data modeling (dimensional/star schemas), and optimization techniques.
· Demonstrated expertise in developing advanced visualizations and managing enterprise-level BI platforms, preferably Power BI.
Leadership & Soft Skills
· Proven track record of leading significant, cross-functional analytical projects with measurable business impact.
· Exceptional ability to communicate highly complex analytical findings and strategic implications clearly and concisely to non-technical executive audiences.
· Strong mentoring skills, with experience coaching and developing less experienced team members.
· High degree of ownership, initiative, and intellectual curiosity
· Excellent communication skills, with the ability to bridge the gap between technical teams and real estate business stakeholders.