JobsData AnalystNew YorkSenior Commercial Real Estate Data Analyst
Apple Bank
Posted 3 days ago
Senior Commercial Real Estate Data Analyst
Apple Bank · New York, New York, United States
In short
The analyst will design and maintain AI-enabled workflows for property financial analysis and develop Power BI dashboards to monitor portfolio performance. They will also provide technical guidance to team members and communicate analytical findings to various stakeholders.
What they're looking for
MUST-HAVE SKILLS
ALSO MENTIONED
Candidates should have at least 6 years of experience and a bachelor's degree in a related field. Proficiency in SQL, Python, Power BI, and advanced AI technologies is required for this role.
About Apple Bank
WEBSITE
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Questions about this role
- Is this Apple Bank role remote?
- Tagged hybrid.
- What does it pay?
- The posting lists $130,000–$160,000 a year.
- Does it sponsor visas?
- Listed as no visa sponsorship.
- What experience does it ask for?
- Listed as 5-10 years.
The posting, in full
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.
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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.
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.
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