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Luiz Stellfeld - Senior CRE Analyst

Candidate Status: Technical Exercise Completed

→ Review Technical Exercise Responses Here

Location: Curitiba, Paraná, Brazil Compensation range discussed: $1,900 - $2,300 LinkedIn Profile | Email: monteiro1794@gmail.com | Phone: +55 41 99249-7866 Earliest date he could join if receiving an offer: 25th of November, 2025

Summary

Real Estate Data Management Analyst with over 3 years of experience at CBRE, supporting US-based clients like AIG, Lithia Motors, and Associated Banks. Specializing in commercial global lease portfolio management, he performs legal documentation analysis, database abstraction, and data validation using Salesforce, CoStar, Tririga, Lease Harbor, and Tango. His technical scope includes generating detailed Excel reports and training internal AI models to accurately abstract lease clauses and financial data across multiple currencies. Additionally, Luiz served as a Quality Team Analyst, auditing case files to identify data discrepancies and ensure portfolio precision. A qualified Lawyer with a Postgraduate degree in Real Estate Law, he combines legal acumen with analytical expertise to manage complex commercial real estate data.

Candidate Snapshot

US-based Commercial Real Estate Experience:

→ 3+ years of dedicated experience in Commercial Real Estate (CRE) Data Management and Transitions at CBRE.

→ Managed the global commercial lease portfolios for multinational accounts, including major US-based clients such as AIG, Lithia Motors, and Associated Banks, and the French client Sanofi, with reporting directed to CBRE's US correspondents.

→ Maintained direct contact with CBRE US correspondents and clients for global lease portfolio administration and data governance, exclusively focused on commercial real estate (storage offices, warehouses) and market dynamics related to leases.

Core Expertise: Data Precision & Quality Analysis

→ Core strength is the precision of data abstraction from complex legal documents and the ability to interpret and 'translate the reality' of foreign market terms (currency, dates, and clauses) for US clients.

→ Functioned as a Quality Team Analyst and internal auditor, ensuring the high integrity and precision of abstracted data for client use.

AI & Workflow Improvement:

→ Directly involved in testing and training an internal CBRE AI system for legal documentation abstraction across multiple foreign languages (German, Spanish, Russian, etc.), focused on identifying and correcting machine learning mistakes.

Education:

→ Postgraduate in Real Estate & Notarial Law | Escola Superior de Advocacia Nacional (2023)

→ Bachelor of Law | Centro Universitário Curitiba (2017)

Technology & Platforms:

→ Proficient in key real estate and portfolio management systems used in transitions and data management: Salesforce, CoStar, Tririga, Lease Harbor, and Tango.

→Experienced in running detailed reports using Excel (custom templates/filters) and creating corporate presentations in PowerPoint.

→ Familiar with the structure and data requirements of core commercial real estate documents like Offering Memorandums (OMs) and Broker Opinion Values (BOVs), though his role did not involve their creation.

Languages:

→ Fluent in English (professional use on CBRE), Advanced German, and Intermediate Spanish.

Meet Luiz

This video from our screening interview provides a look into Luiz's background and experience.

Key Qualifications & Highlights

○ Deep Commercial Real Estate Focus:

Experience is exclusively commercial (warehouses, offices, storage facilities), providing relevant domain knowledge related to the commercial lease life cycle, client portfolio interests, and data requirements for these asset types.

○ Direct AI Development Contributor:

Directly tested and validated an internal CBRE machine learning system for legal documentation abstraction, focusing on identifying errors in expense and currency separation to improve the AI’s data quality and accuracy.

○ Multilingual Data Precision Expert:

Identified his core strength as achieving "precision of the data" and its impact to the client, specifically excelling at "translating the reality" of foreign language (German, Spanish, Russian, etc.) contractual terms, currencies, and clauses into actionable data for the US team.

○ Proactive Workflow Ownership

Demonstrated an ability to elevate output by independently proposing and implementing a switch from an unreliable email transfer system to a secure Teams/desktop document channel for a critical client, resolving an ongoing bottleneck.

○ Analytical Interpretation

Excels at "analyzing the reports" and "interpreting the relevance" of data, which he identifies as the task he would thrive at most in a new role, ensuring analytical output is meaningful and contextual.

Screening Interview - Key Observations

○ Preference for Defined Structure (Cultural Fit Note): He expresses a clear preference for working within precise procedures, stating frustration with tasks lacking a "written procedure" or a clear next step. While he is willing to create these steps, the hiring team should note that if the environment has consistently undefined processes (normal for a startup) with no immediate opportunity for the candidate to build them, this could be a potential area of cultural friction for him.

○ Key Analytical Competency (Data Relevance): He identifies his most successful task in the new role would be "analyzing the reports" and "ensuring not only the precision but the relevance of the fields," showing a deep understanding of data's impact beyond mere accuracy. He thrives on interpreting the relevance and drawing conclusions, even from complex Excel data.

○ Familiarity with Marketing Materials: He confirmed that while he has not created real estate marketing materials (OMs, BOVs), he is familiar with them from his prior context, stating he could "surely recognize it and learn how to indeed create one" given his background.