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Andrés Ariza Ardila - Senior CRE Analyst

Location: Bogotá, Colombia

Compensation range discussed: $1,500 - $2,100

LinkedIn Profile | email: arizaandres8@gmail.com | Phone: +57 310 5738411

Earliest date he could join if receiving an offer: Two weeks from receiving an offer

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

Summary

Trilingual Civil Engineer with nearly 3 years of Commercial Real Estate experience gained at LOGAN in roles such as Consulting & Valuation Specialist and Valuation Analyst. He has delivered valuation, highest and best use, and marketability reports for over 100+ commercial assets, supporting institutional US-based clients such as Walmart, the American Embassy, and Logistic Properties of the Americas. He translates demographic trends and financial data into structured investment deliverables, investment memoranda, and corporate presentations. While familiar with the information structure of OMs and BOVs, his core expertise lies in deep appraisals and market analysis in compliance with USPAP, IVS, RICS, and Appraisal Institute guidelines and standards across Colombia, Costa Rica, Mexico, Peru, and the Dominican Republic. He is proficient in data visualization and financial modeling using Argus Enterprise, Tableau, Power BI, PowerPoint, and Canva, as well as research tools such as CoStar and Zillow.

Meet Andrés

This video from our screening interview provides a look into Andrés's background and experience:

Candidate Snapshot

US-based Client Experience

• Institutional US Client Exposure: Directly collaborates with US-based entities, including Walmart, Logistics Properties of the Americas (NYSE: LPA), and the American Embassy. Delivers income approach valuations, strategic advisory, and recurring marketability reports tailored to US operational and reporting requirements.

• Cross-Border Market Intelligence: Conducts deep competitive research across Latin American and Caribbean markets (Costa Rica, Colombia, Peru, Mexico, Dominican Republic, Antigua & Barbuda). Translates local demographic and economic trends into actionable insights for US clients regarding strategic expansion, pricing, and unsatisfied demand.

Real Estate Documentation Development

• Strategic Investment Deliverables: Develops high-impact investment-focused memoranda and detailed technical reports, including marketability and Highest and Best Use (HBU) analyses. He is proficient in translating complex financial modeling and competitive comps into actionable insights, clearly articulating investment theses, risk factors, and financial projections to drive executive-level decision-making.

• Client-Ready Presentations: Regularly designs structured, data-driven investment memoranda and corporate presentations using PowerPoint, Canva, and Tableau. Focuses on strong data visualization to translate complex financial data into easily digestible, executive-level insights.

• Reporting: While formal exposure to OMs and BOVs is limited, he consistently produces highly complex appraisal, marketability, and Highest and Best Use (HBU) reports that require a deeper level of analytical rigor. These reports are routinely used to drive investment decisions, lending approvals, and litigation processes.

Commercial Real Estate Expertise

• 3 Years of Valuation & Analysis: Delivered comprehensive valuation reports for over 100+ commercial assets, encompassing retail, office, industrial, ground leases, and mixed-use properties.

• Advanced Financial Modeling: Routinely conducts Discounted Cash Flow (DCF) modeling in Argus Enterprise (As-Is and As-Is-Built) to analyze distressed assets, evaluate portfolio performance, and forecast cash flows.

• Investment Metrics & KPIs: Highly proficient in evaluating and reporting on key return metrics and real estate KPIs, including Internal Rate of Return (IRR), Net Present Value (NPV), Equity Multiple, cash-on-cash returns, absorption rates, effort ratios, management fees, and vacancy trends.

Education

• Bachelor of Science in Civil Engineering | Universidad Nacional de Colombia (2022)

• Coursework in Construction Finance | Columbia University

Languages

• Languages: Spanish (Native), English (Fluent C1), French (Fluent B2)

Tools Used

• Financial Modeling: Argus Enterprise (Advanced, 3 years), Argus Developer (Intermediate, 1 year), Microsoft Excel (Advanced).

• Data Visualization & Presentation: Canva (Advanced), Microsoft PowerPoint (Advanced), Tableau (Advanced, 2 years), Power BI (Intermediate, 2 years).

• Real Estate Research & GIS: CoStar (Intermediate, 2 years), Zillow (Intermediate, 2 years), QGIS, Google Earth (Advanced, 4 years).

• AI & Automation: ChatGPT, Claude.

Key Qualifications & Highlights

• Strategic Advisory on Large-Scale Assets: Delivered strategic Highest and Best Use (HBU) analyses for highly complex assets, including a 1.3 million-acre land portfolio in the Dominican Republic, an international airport, and a master-planned community. Directly guided 10-year development projections by providing optimal combinations of real estate uses and buildable area estimates.

• Distressed Asset Expertise: Developed a comprehensive financial model for a Class A mixed-use asset (retail and office) in financial distress, calculating its "As-Is" value to directly support capital raising efforts. Also advised on a 59-acre downtown land asset with severe zoning restrictions prohibiting permanent structures, effectively supporting lease renewal negotiations.

• Proactive Workflow Automation & Optimization: Identified inefficiencies in field data collection and independently built an automated workflow to capture property inspection data via forms, consolidating it into a centralized database to increase accuracy. Additionally, during a complex multi-stakeholder project, established strict version control and communication protocols that successfully eliminated duplicate work and became a permanent standard practice for his team's deliverables.

• Cross-Functional Foundation: Combines a Civil Engineering degree with specialized financial training from Columbia University, providing a unique technical and analytical lens for estimating construction costs (aqueducts, civil works) while concurrently driving sophisticated Discounted Cash Flow (DCF) models.

• International Standards Compliance: Highly trained in generating objective, defensible analyses fully compliant with USPAP, IVS, and RICS (Appraisal Institute) guidelines. This strict adherence to global frameworks ensures all deliverables meet the rigorous scrutiny required for institutional acquisitions and financial reporting.

Screening Interview - Key Observations

• Strategic Vision for Regional Expansion: Discussed an interest in leveraging regional real estate expertise to assist the hiring company with future operational expansions into Latin America.

• Task Preference & Cross-Border Adaptability: Feels most comfortable navigating cross-border market complexities. He specifically mentioned his adaptability in pulling cohesive economic data from different authorities across various Latin American countries to build valuation models that guide acquisition or sell-out decisions.

• AI as a Report Enhancement: Enjoys utilizing artificial intelligence (ChatGPT & Claude) to refine analytical outputs. He highlighted the use of generative AI tools to process data and generate clearer insights for corporate presentations, ensuring his industry expertise remains the core of the deliverables.

• Professional Pivot & Transferable Skills: Proficient in complex financial reporting; limited direct experience producing commercial real estate marketing materials. He accurately described Broker Opinion of Values (BOVs) and Offering Memoranda (OMs) as "simpler" summaries than his usual work, acknowledging that his background is rooted in technical appraisal reports rather than marketing-focused deal presentations.

• Process Optimization & Communication: Demonstrated a proactive focus on process improvement by identifying workflow inefficiencies during a project in the Dominican Republic. He took the initiative to eliminate duplicate effort by establishing strict version control and file-sharing protocols, which have become standard practices for his team.

• Pending Queries: Inquired about the hiring company's market trajectory and current client base.

Candidate Main Motivators for the Role

“I find this opportunity very compelling because I would be contributing to a company that is genuinely changing how commercial real estate work gets done, in an economy that is rapidly evolving with AI.

What stands out to me is how closely the role aligns with the core functions I’ve been developing—building high-quality deal materials, integrating data from multiple sources such as Excel and PDFs, and conducting market research and comps analysis to support investment decisions. I’ve seen how time-consuming and manual these processes can be, so being able to streamline them through an AI-native platform is highly attractive.

I’m also aware that this technology still requires strong human judgment. I see clear opportunities to add value in improving data inputs, selecting relevant comparables, and ensuring that the final deliverables are accurate, insightful, and client-ready.

Additionally, I’ve built proficiency in Excel, Power BI, Tableau, ARGUS, CoStar, and Zillow through self-driven learning to improve efficiency and processes, which I would bring into this role from day one.

Overall, this role allows me to focus on what I enjoy most, turning data into meaningful insights that drive informed investment decisions, while positioning myself for strong, long-term growth in a product-driven environment.”