Data & Product Analyst (Benchmarking), CoStar Debt Solutions

About the position

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.

Responsibilities

  • 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

Requirements

  • 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-haves

  • 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

Benefits

  • 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)
  • Access to CoStar Group’s Employee Resource Groups
  • Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks
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