Senior Commercial Real Estate Data Analyst at Apple Bank

Posting record

No flags

Open 17+ days

Oct 1, 2026Apple Bank's site dates the posting
Oct 18, 2026Ghostless first sees this listing
Nov 4, 2026Last checked: still up

How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Apple Bank, so its true age is longer.

Last checked Nov 4, 2026.

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What it asks of you

6+ years of experience: “6 + years of experience in a similar position.” (quoted from the posting)
Bachelor's degree asked for: “Bachelor's degree in a related field of study preferred.” (quoted from the posting)

What the posting discloses

Pay: $130k to $160k a year USD
Salary Range: $130,000- $160,000 (quoted from the posting)

Not stated: Real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Skills mentioned

About the role

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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