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Tiago Gonçalves - Senior CRE Analyst

Location: São Paulo, Brazil

Compensation range discussed: $1,900 - $2,300

LinkedIn Profile | email: tiagognca@gmail.com | Phone: +55 19 99413-8829

Earliest date he could join if receiving an offer: Immediate start

Schedule Availability (EST): 12:00 pm - 10:00 pm


Summary

Portfolio Administrative Analyst with a Postgraduate in Business Management & Marketing and nearly 3 years of Real Estate experience, including 2 years dedicated to the US market at Blueground. He specializes in organizing portfolio datasets and translating performance data into structured executive summaries and corporate presentations using PowerPoint, Canva, Adobe Illustrator, and InDesign. His direct US market exposure involves managing property data, optimizing pricing, and tracking occupancy metrics across Seattle, Los Angeles, San Diego, and Miami. He brings concrete expertise in preliminary underwriting, using Argus modeling and reviewing real estate documents such as Broker Opinion of Values (BOVs), Offering Memoranda (OMs), Asset Summary Reports, and loan packages to facilitate deal closings. Additionally, he leverages AI tools such as Gemini, ChatGPT, and MS Copilot to automate workflows and communications. His foundational real estate expertise was built managing market research and sales dashboards at Construtora Stéfani.


Meet Tiago

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


Candidate Snapshot

US Real Estate Market Experience

Almost 2 Years of US Market Support: Currently serves as a Portfolio Administrative Analyst for Blueground, directly managing operational data for residential real estate portfolios across Seattle, Los Angeles, San Diego, and Miami

Portfolio Integration & KPI Monitoring: Supported the integration of over 2,000 units into the portfolio, reporting directly to US-based international leadership. Responsible for tracking core performance metrics, including occupancy, churn, pricing, renewals, and yield.  

Landlord Relationship Management: Managed revenue-sharing contracts with property owners. Produced monthly performance and profitability reports to maintain direct alignment and ensure accurate financial operations for US-based assets.

Real Estate Documentation Development

Multifamily Deal Materials: Prepared Asset Summary Reports and Briefs tailored specifically for multifamily properties. 

Underwriting Document Familiarity: Utilized Broker Opinion of Values (BOVs), Offering Memorandums (OMs), and loan packages during the closing and signing process to conduct preliminary underwriting for multifamily assets and structure Argus models for commercial properties.  

Corporate Visual Layouts: Develops executive presentations and internal reports that translate complex market data into clear visual insights, utilizing a suite of design software including Canva, Adobe Illustrator, and InDesign to maintain visual consistency and branding standards.

Real Estate Expertise

Nearly 3 Years of Real Estate Experience: Built a foundational industry background as a Commercial Intern at Construtora Stéfani, approving sales deals and analyzing consumer behavior data, prior to transitioning to US portfolio management.  

Market Research & Comps Analysis: Routinely analyzes similar local properties via platforms like Apartments.com to benchmark renewal rates and validate internal pricing strategies against current market dynamics.  

Financial Auditing: Partners closely with finance teams to conduct monthly audits on management company invoices, ensuring accurate payment processing and charge reconciliations for active units.

Education

Postgraduate Degree in Business Management & Marketing | ESPM (In Progress) 

Bachelor of Business Administration | University of São Paulo (2023)

Tools & Technologies

Real Estate & Data Analytics: Argus, Advanced MS Excel, Google Sheets, Power BI. 

Design & Presentation: Canva, MS PowerPoint, Google Slides, Adobe Illustrator, Adobe Photoshop, Adobe InDesign.  

AI & General Software: Gemini, ChatGPT, MS Copilot, Jira.


Key Qualifications & Highlights

Proactive Pricing Optimization: Identified an operational bottleneck where algorithmic pricing led to low utilization rates in specific neighborhoods. Independently conducted comparative market analysis (comps) to prove units were overpriced due to seasonal shifts, and successfully collaborated with the internal pricing team to implement manual overrides that optimized occupancy levels. 

Advanced Visual Communication Skills: Goes beyond standard presentation software by leveraging a graphic design background (Adobe Illustrator, Photoshop, InDesign). This enables the creation of highly structured, visually engaging corporate materials, asset briefs, and dashboards that maintain strict brand standards while clearly communicating complex financial data to stakeholders.  

AI-Driven Workflow Automation: Demonstrated a proactive approach to operational efficiency by independently integrating AI plugins (such as Gemini in-browser) into daily workflows. Automated the customization of high-volume client emails and meeting notes, effectively accelerating communication processes without requiring a formal company-wide AI mandate.  

Cross-Functional Data Consolidation: Streamlined portfolio tracking by consolidating raw operational and financial data from multiple internal systems into structured Excel and Power BI dashboards. This approach minimized data entry errors during the onboarding of new properties and improved internal reporting accuracy for leadership overseeing the US market.


Screening Interview - Key Observations

Comprehensive Role Breakdown & Cross-Functional Collaboration: He clearly segmented his previous responsibilities at Blueground into three concrete areas: administrative data onboarding, in-depth market analysis (monitoring KPIs such as utilization rates), and landlord relationship management for revenue-sharing models. Additionally, he shared new context regarding his experience working directly with a Customer Experience (CX) team based in the Philippines.  

Proactive Analytical Problem-Solving: He demonstrated strong process improvement and diagnostic skills when discussing an issue with algorithmic pricing. By monitoring "utilization rates" in specific neighborhoods, he noticed a drop in performance. Recognizing that the pricing algorithm failed to account for seasonal shifts, he conducted manual market research via platforms like Apartments.com and proactively flagged the overpriced units to the management and pricing teams for correction.  

Task Optimization & AI Integration: Although he is highly capable in detail-oriented administrative duties—such as manually inputting real estate data into internal systems—he actively seeks out ways to optimize repetitive workflows. He independently implemented Google Gemini browser plugins to automate the customization of high-volume emails, indicating a preference for efficiency over highly manual, routine data entry.  

High Adaptability & Role Alignment: He expressed strong alignment with the position, noting that the working hours and compensation fit his current expectations perfectly. When asked about potential conditions or deal-breakers for accepting an offer, he emphasized his flexibility, describing himself as a "very adaptive person" who can "make things work."  

Team Structure Inquiry: His primary question during the interview centered on whether he would serve as the main point of contact for the process or collaborate with a larger group.