Senior Commercial Real Estate Data Analyst

Apple Bank

$130K — $160K *
Real Estate & Construction
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a related field preferred.
  • 6+ years of experience in a similar role.
  • Advanced knowledge of AI technologies like prompt engineering and machine learning.
  • Proficiency in SQL, Python, Power Query, or similar data tools.
  • Strong command of Microsoft Excel, Power BI, and Word.
  • Effective communication skills, both verbal and written.
  • Familiarity with the New York metropolitan real estate market is advantageous.

Responsibilities

  • Design and maintain AI-enabled workflows for financial analysis and market research.
  • Develop and enhance Power BI dashboards for commercial real estate reporting.
  • Identify processes for standardization or automation while maintaining quality controls.
  • Mentor Real Estate Analysts on data analysis and visualization techniques.
  • Communicate analytical findings to both technical and nontechnical stakeholders.
  • Perform additional duties as assigned.

Benefits

  • Opportunities for professional development and mentorship.
  • Exposure to cutting-edge AI technologies in real estate analysis.
  • Collaborative working environment with internal stakeholders.
  • Involvement in impactful projects for Apple Bank's valuation and advisory divisions.
Full Job 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, andmaintainAI-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.
  • Identifymanual or duplicative processes that can be standardized or automated without weakeningcontrolquality, auditability, or professional judgment.
  • Mentor andprovidetechnical 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.

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