Senior Commercial Real Estate Data Analyst at Apple Bank, New York, NY
Senior Commercial Real Estate Data Analyst at Apple Bank in New York, NY. Full-time. $130,000 to $160,000 a year. Apply with swipeandhired.
New York, NY (Hybrid)
Salary Range: $130,000- $160,000
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.
ESSENTIAL DUTIES & 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.
SKILLS, EDUCATION & EXPERIENCE
- Bachelor's degree in a related field of study preferred.
- 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.
- Hands-on experience working with unstructured data in different formats such as.pdf,.csv,.json and building automations to aggregate it in a specific structure for analysis.
- Exposure to APIs for data retrieval
- 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.
- Knowledge of the New York metropolitan real estate market helpful.
Visa sponsorship not available.
We are an equal opportunity employer and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, military and/or veteran status, or any other Federal or State legally-protected classes.