Data Analyst - Senior Real Estate Operations

Data Analyst - Senior Real Estate Operations (Hybrid) Primary

Location:

Chicago, Illinois

V-Soft Consulting is currently hiring for a Data Analyst - Senior Real Estate Operations for our premier client in Chicago, Illinois.

• Bachelor’s degree in a quantitative field (e.g., Data Science, Finance, Statistics, Engineering). Master’s degree is a plus.
• Experience with other Real Estate data sources (e.g., Real Page, MRI) 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.

• Expert level proficiency with YSRs.
• Expert level proficiency in Microsoft Excel, including using formulas, modeling and transforming data, Pivot tables, and scripting.
• Expert level proficiency in SQL for querying, performance tuning, and designing complex views.
• Experience with Snowflake architecture preferred.
• Advanced experience with one or more programming languages (e.g., Python or R) for statistical analysis, modeling, and automation.
• Demonstrated expertise in developing advanced visualizations and managing enterprise‑level BI platforms, preferably Power BI.

• 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.

• Design, build, and maintain complex analytical models (e.g., pricing models, predictive occupancy) using advanced SQL and Python/R.
• Develop and present executive‑level insights and strategic recommendations to senior leadership across the firm.
• 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.
• 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.

• 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.

• 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.

Qualified candidates should send their resumes to b.

V-Soft Consulting Group is recognized among the top 100 fastest‑growing staffing companies in North America, headquartered in Louisville, KY with strategic locations in India, Canada and the U.S. V‑Soft is known as an agile, innovative…