Data & Product Analyst (Benchmarking), CoStar Debt Solutions

About this role

Data & Product Analyst (Benchmarking), CoStar Debt Solutions

Job Description

Data & Product Analyst (Benchmarking)  

Location:   Boston, in-office  

About the role  

CoStar Debt Solutions is building the next generation of CRE analytics software — a platform where data, benchmarking intelligence, and client workflows come together in a single experience to support how lenders originate, evaluate, and manage risk.  

A central part of this vision is our   Benchmarking product , which enables lenders to compare loan performance, pricing, and risk characteristics against a trusted market dataset. This product is rapidly evolving, with significant investment in expanding coverage, improving methodologies, and delivering more actionable insights directly into client workflows.  

We’re   hiring a Data & Product Analyst to help drive the continued growth of this Benchmarking product — both as a data asset and as a highly client-facing solution.  

This role combines data analysis, product development, and direct client engagement, with a strong emphasis on supporting client adoption and enabling the sales process. You will work closely with clients and internal sales teams to   demonstrate   product value, answer analytical questions, and ensure clients can effectively   leverage   benchmarking insights   in   their workflows.  

In year one, this role will focus on analyzing benchmark data, supporting product enhancements, and actively   participating   in client meetings, product demos, and sales support activities. Over time, the role expands into shaping benchmark methodologies, influencing product strategy, and helping scale how benchmarking insights are delivered across the platform.  

This is a hybrid role at the intersection of data analysis, product development, and client/sales engagement — ideal for someone who can translate complex datasets into clear insights and communicate them effectively to both internal and external   audiences.  

What   you’ll   own:  

• The analysis of complex datasets that power the Benchmarking product —   identifying   trends, inconsistencies, and opportunities to improve data coverage and quality  

• The evolution of benchmark methodologies, outputs, and usability in partnership with Product Managers and cross-functional teams  

• Direct engagement with clients, including leading and supporting client conversations to understand benchmarking use cases, answer analytical questions, and gather actionable feedback  

• Active support of sales and go-to-market efforts, including participating in product demonstrations, responding to client inquiries, and helping articulate the value of benchmarking insights  

• Ongoing client support and enablement, ensuring users can interpret and apply benchmark data effectively in their workflows  

• Collaboration with engineering teams to ensure   accurate   delivery of benchmark data, calculations, and features  

• Monitoring product usage and client feedback to   identify   areas for improvement and drive continuous enhancements  

• Data validation, quality checks, and troubleshooting to   maintain   the reliability and integrity of benchmark datasets  

• Staying current on industry trends and competitive benchmarking solutions to inform product direction  

What we expect you to bring:  

• Bachelor’s degree from an accredited,   not-for-profit, in person, university or college. Ideally in   Data Analytics, Data Science, Business Analytics, Finance, Economics, Computer Science, Information Systems, or a related field  

• 2+ years of experience working with data analytics, financial data, or data-driven products  

• Strong hands-on experience working with large datasets and performing detailed analysis  

• Strong communication   skills, with the ability to engage effectively with both technical stakeholders and clients  

• Proven ability to support client-facing interactions, including presenting, explaining analytical concepts, and responding to client questions in real time  

• Experience with analytics or benchmarking products, or similar data-driven solutions  

• Strong analytical thinking, attention to detail, and problem-solving skills  

• A track record   of commitment to prior employers  

Nice to have:  

• Exposure to SQL, Python, or similar languages  

• Experience with benchmarking, peer comparison, or performance analytics solutions  

• Experience supporting client-facing products or working in a customer-oriented environment  

• Familiarity with financial services, lending, or real estate data  

• Experience with data visualization tools  

• Understanding of APIs and data integration concepts  

The growth path:  

The first year in this role is focused on deeply understanding the benchmark dataset, client needs, and current product capabilities — contributing directly to data analysis, active client engagement, sales support, and incremental product improvements. You will play a key role in client conversations, product demonstrations, and helping drive   adoption   of benchmarking insights in real-world workflows.  

Beyond that, the role expands into a more strategic position:  

• Shaping how benchmark methodologies evolve as the dataset scales  

• Driving enhancements to how insights are surfaced within client workflows  

• Partnering with sales and client teams to improve how benchmarking is positioned, adopted, and delivered  

• Influencing product direction based on client usage patterns, feedback, and market trends  

This role is a strong path into broader product ownership, client-facing product strategy, or advanced analytics leadership, particularly for someone interested in building and scaling data-driven products that directly support client outcomes and business   growth.  

What’s   unique about this role:  

Most data analyst roles focus on generating insights. This role goes further — connecting those insights directly to product decisions and clien

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