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Apple Bank

Senior Commercial Real Estate Data Analyst

Apple Bank New York, New York, United States · $130K–$160K/yr

Financial Services · 1,001-5,000 employees

Yesterday
data-analyst Senior (5-10 yrs) Full-time United States
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About the role

The analyst will design and maintain AI-enabled workflows for property financial analysis and market research. They will also develop Power BI dashboards to monitor portfolio performance, risk indicators, and valuation metrics.

What they look for

Data Analysis Commercial Real Estate AI Technologies Prompt Engineering Agent-based Automation Machine Learning Data Science SQL Python Power Query Power BI Microsoft Excel Financial Statement Analysis Market Research Due Diligence Risk Management

Requirements

Candidates should have at least 6 years of experience and a bachelor's degree in a related field. Proficiency in AI tools, SQL, Python, and Microsoft Power BI is required for this role.

Full description

New York, NY 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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