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Angelyn Jaurique - CRE Analyst

Location: Pasig City, Metro Manila, Philippines

Compensation range discussed: $1,000 - $1,200

LinkedIn Profile | email: angelynjaurique1829@gmail.com | Phone: +63 936 941 1517

Summary

Research Team Lead with over 1 year of experience in Commercial Real Estate (CRE) data analysis at Arealytics, supporting an Australia-based CRE information provider. She specializes in extracting financial data—including lease comparables, tenant information, outgoings, and rent escalations—for office, retail, and industrial properties. Her direct market exposure includes conducting virtual site inspections to validate building data and transcribing over 2,000 registered commercial leases across Australia (New South Wales, Queensland, and Perth), alongside an introductory understanding of US commercial lease documents. She maintains a 98% data accuracy rate and manages a team of 8 analysts. Leveraging a Magna Cum Laude background in Marketing Management, she designs visually engaging client reports, corporate presentations, and marketing materials utilizing Microsoft PowerPoint and Canva.

Meet Angelyn

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

Candidate Snapshot

US Real Estate Experience

• US Lease Understanding: Possesses a foundational awareness of US commercial lease documents and data structures. Cross-trained with an internal US market expert to understand transcription standards and document formats specific to the US commercial real estate market.

Commercial Real Estate Expertise

• Data Extraction & Analysis: Accumulated over 1 year and 5 months of direct experience supporting an Australia-based CRE information provider. Extracts, validates, and structures financial data from commercial leases, tracking metrics such as lease comparables, tenant information, outgoings, rent per sqm, and rent escalations.

• High-Volume Auditing & Quality Control: Transcribed and encoded over 2,000 registered commercial leases across Australia (specifically New South Wales, Queensland, and Perth), strictly focusing on office, retail, and industrial properties. As a former Data Quality Analyst, she audited lease records to ensure consistency.

• Quality Assurance & Leadership: Maintains a 98% data accuracy rate in lease transcription. Recently promoted to Research Team Lead, currently managing workflow distribution and auditing output for a team of 8 research analysts.

Marketing & Deal Packages Familiarity

• Marketing Material Design: Holds hands-on experience designing corporate presentations, client reports, and marketing materials using Canva and Microsoft PowerPoint.

• Deal Package Data Processing: While she has no direct professional experience producing OMs and BOVs, she routinely extracts and processes the core data components required for these packages, including property details, financial metrics, location information, market analysis, and building sizes.

Education

• Bachelor of Science in Business Administration, Major in Marketing Management | Polytechnic University of the Philippines (2024) - Graduated Magna Cum Laude

Tools & Technologies

• Data: Microsoft Excel, Google Sheets.

• Design & Presentation: Canva, Microsoft PowerPoint, Google Slides.

• General: Microsoft Office Suite, Google Workspace, Microsoft Teams.

Key Qualifications & Highlights

• Proactive Process Optimization: Identified onboarding bottlenecks when an internal trainer struggled to guide new employees due to a lack of documentation. Independently developed step-by-step process guides, practice examples, and quizzes, standardizing the training workflow for the research team.

• Leadership During Transitions: Assumed unofficial leadership responsibilities when a former team leader resigned. Guided junior analysts through complex research tasks and answered pressing queries, enabling the team to successfully meet a 90% quality target during the management transition. This initiative directly resulted in a formal promotion to Research Team Lead.

• AI Integration & Workflow Improvement: Actively implements AI tools to streamline complex data collection workflows and minimize extraction errors. Processes complex data from multiple sources and integrates it into internal systems, directly supporting real estate deal preparation.

• Marketing & Analytical Balance: Combines an academic background in Marketing Management with strictly regulated data quality assurance experience. This dual background enables the accurate processing of dense financial information (rent metrics, lease comparables) while maintaining the design proficiency required to structure clear, visually engaging corporate materials.

Screening Interview - Key observations

• Proactive US Market Familiarity: While her primary focus has been the Australian market, she demonstrated strong initiative by independently seeking out an internal expert to teach her about US commercial leases. This curiosity allowed her to build a foundational understanding of US document structures and data transcription methods without it being a required part of her day-to-day role.

• Bridging Data Abstraction with Deal Materials: She openly acknowledged a lack of direct experience producing final deal deliverables like Offering Memorandums (OMs), Broker Opinions of Value (BOVs), and loan packages. However, effectively correlated the underlying data points required for these materials (property details, building size, outgoings, and rents) with the registered lease and listing data she currently extracts, demonstrating a solid technical baseline to learn marketing materials production.

• Leadership and Process Standardization: Starting her real estate career conducting virtual site inspections before moving to lease abstraction, she quickly adapted to complex documentation. When a previous team leader resigned, she stepped up as a junior analyst to guide the team and ensure they maintained a 90% quality target. She also resolved onboarding bottlenecks by independently developing step-by-step process guides and training quizzes.

• Task Preferences & Self-Assessed Growth: She thrives in roles that require a mix of workflow optimization, data extraction, and knowledge transfer. Interestingly, she initially described herself as "not a fan of reading" dense documents due to her marketing background, which highlights an initial weakness or less-preferred task. However, she successfully overcame this hurdle through rigorous self-study, workflow documentation, and the integration of AI tools to streamline reading-heavy processes.

• Open Queries & Operational Logistics: During the interview, she raised several specific questions regarding the role's logistics that the hiring team should address directly. These include:

• Whether the company provides the software licenses necessary for the role (specifically mentioning Canva and Microsoft PowerPoint).

• The exact payment platform or method used for international transfers to the Philippines.

• Whether the daily workflow and hours are monitored via a time tracker or if the role is strictly output-based.