Data & Product Analyst; Benchmarking), CoStar Debt Solutions
Listed on 2026-06-12
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IT/Tech
Data Science Manager, Data Analyst, Business Systems/ Tech Analyst
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.
Job Description About the RoleCoStar 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.
This role is focused on our Benchmarking product, which enables lenders to compare loan performance, pricing, and risk characteristics against a trusted market dataset. The product is rapidly evolving, expanding coverage, improving methodologies, and delivering actionable insights directly into client workflows.
LocationBoston, in‑office (hybrid).
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
- 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
- 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 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…
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