Senior Commercial Rent Analyst

Job Description

OVERVIEW

CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces.  Included in the S&P 500 Index and the NASDAQ 100, CoStar Group is on a mission to digitize the world’s real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives.  
 
We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our Clients.  We’ve continually refined, transformed and perfected our approach to our business, creating a language that has become standard in our industry, for our Clients, and even our competitors.  We continue that effort today and are always working to improve and drive innovation.  This is how we deliver for our Clients, our employees, and investors.  By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate.  

ABOUT THE ROLE

CoStar is seeking a Senior Commercial Rent Analyst, with a focus on commercial real estate (CRE) data analysis, data validation, and accuracy evaluation/tracking, to join our growing analytics organization. The Senior Commercial Rent Analyst will enhance commercial rent estimates by improving data quality, supporting the lease abstraction process, and driving accuracy in rent estimation models. This role will collaborate with research, product, and quantitative teams to streamline data collection systems and enhance data quality. Additionally, the analyst will lead product prototyping, benchmarking, and cloud migration efforts, advance space-level analytics, and deliver tools to improve the productivity and efficiency of the analyst team.

This is a full-time in-office position that will be based in our Richmond, VA office.

RESPONSIBILITIES

• Develop comprehensive dashboards to monitor and assess lease data, assess the accuracy of commercial rent estimates, and visualize rent/accuracy trends.

• Build and implement QA checks and feedback loops for research lease abstraction teams to improve data quality and refine the lease abstraction process.

• Collaborate with the Quantitative Analytics team for rent estimation model enhancement.

• Provide actionable feedback to the research team for better data quality and quantity with regards to rents and other CRE data points needed to support analytic content.

• Develop and implement systems for analysts input on rent estimations.

• Lead the development of product prototypes using real data to support benchmarking or other initiatives and ensure that new product features align with market expectations.

• Construct Power BI reports and commercial datasets to support the analytics team.

• Work with product and quantitative teams to utilize space-level analytics for more granular insights, incorporating into rent estimation models and reporting tools.

• Build and deliver new tools and capabilities to improve analyst team productivity and efficiency

BASIC QUALIFICATIONS

• Bachelor’s degree in a quantitative field (e.g., Economics, Real Estate, Statistics, Data Science/Analytics, Finance, or related discipline).

• 3+ years of experience in data analysis, with exposure to commercial real estate data preferred.

• Highly proficient in SQL for querying and transforming large datasets, with experience in SQL Server Management Studio.

• Intermediate to Advanced Excel skills

• Skilled in Power BI (or similar BI tool) for creating dashboards and reports.

• Applied experience with Microsoft Office 365 based data tools (including VBA) for data processing and analysis.

• Strong analytical and problem-solving skills with attention to detail.

• Proactive and self-driven, consistently taking initiative to identify and implement improvements.

• A track record of commitment to prior employers

PREFERRED QUALIFICATIONS

• Advanced degree (Master’s, PhD) in statistics, data science, real estate, or related field

• Knowledge of commercial real estate concepts and metrics (e.g., effective rents, vacancy rate, absorption).

• Experience with rent analysis or working with forecast/valuation models.

• Familiarity with Python and/or R.

• Understanding of API calls and JSON is a plus

• Hands on experience working with large, complex datasets across multiple sources.

• Strong communication skills, especially in presenting data-driven insights to non-technical stakeholders.

WHAT’S IN IT FOR YOU:

When you join CoStar Group, you’ll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed. 

We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training, tuition reimbursement, and an inter-office exchange program. 

Our benefits package includes (but is not limited to): 

• Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug 

• Life, legal, and supplementary insurance 

• Virtual and in person mental health counseling services for individuals and family 

• Commuter and parking benefits 

• 401(K) retirement plan with matching contributions 

• Employee stock purchase plan 

• Paid time off 

• Tuition reimbursement 

• On-site fitness center and/or reimbursed fitness center membership costs (location dependent), with yoga studio, Pelotons, personal training, group exercise classes

• Access to CoStar Group’s Diversity, Equity, & Inclusion Employee Resource Groups 

• Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks 

We welcome all qualified candidates who are currently eligible to work full-time in the United States to apply.  However, please note that CoStar Group is not able to provide visa sponsorship for this position.

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CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing