Senior Commercial Real Estate Data Analyst

Apple Bank • New York, NY

22h • Hybrid

About The Position

The Senior Commercial Real Estate (CRE) Data Analyst supports Apple Bank’s Real Estate Valuation & Advisory Division (REVAD) and related Commercial Mortgage Division (CMD), as well as other internal stakeholders by delivering data-driven analysis of real estate, financial, and market information. The position will be involved in a variety of activities including development of actionable insights, analytical reports, market research, and leveraging data and AI-enabled tools to support valuation, underwriting, portfolio monitoring, risk management, due diligence, and informed business decisions.

Requirements

• 6 + years of experience in a similar position.
• Advanced knowledge of AI technologies, including prompt engineering, agent-based automation, machine learning, data science, and analytics, coupled with a proven ability to streamline processes and deliver business insights.
• Experience with SQL, Python, Power Query, or similar tools used for data extraction, transformation, analysis, or workflow automation.
• Strong command of Microsoft Excel, Power BI, Word.
• Effective interpersonal, verbal, and written communication skills.

Nice To Haves

• Knowledge of the New York metropolitan real estate market helpful.

Responsibilities

• Design, test, document, and maintain AI-enabled and automated workflows for property financial statement analysis, document review, market research, due diligence, and recurring portfolio processes.
• Develop, maintain, and enhance Power BI dashboards and recurring reports for the commercial real estate portfolio, including portfolio composition, property performance, debt service coverage, maturity, exposure, valuation, and risk indicators.
• Identify manual or duplicative processes that can be standardized or automated without weakening control quality, auditability, or professional judgment.
• Mentor and provide technical guidance to Real Estate Analysts on CRE analysis, data quality, reporting, visualization, and use of approved analytical tools.
• Communicate analytical findings clearly to technical and nontechnical stakeholders, including the limitations, assumptions, and source data underlying the analysis.
• Perform other duties as assigned.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior