Data Value Analyst

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.  Skills and Competencies 7+ years of relevant professional experience in valuation, financial analysis, data products, licensing, royalties, pricing, commercial strategy, or a related discipline This role requires a commercially minded valuation professional who can combine sound analysis, practical judgment, and cross-functional influence to determine and defend the relative value of data within blended products. Data valuation expertise and judgment, including the ability to estimate how individual datasets contribute to the value of blended products and recognize that value varies by customer, use case, product design, substitutes, exclusivity, timeliness, quality, coverage, and strategic importance Strong knowledge of valuation approaches, including comparable-product, market, income, cost, contribution, willingness-to-pay, scenario, and sensitivity analyses, with the judgment to establish defensible ranges without implying false precision Advanced analytical, financial modeling, and tool proficiency, with the ability to gather, validate, and interpret product performance, pricing, margin, usage, retention, customer behavior, market, and competitive data using advanced spreadsheets and, where appropriate, SQL, Python, R, business intelligence platforms, or similar technologies Market and customer research experience, including surveys, interviews, benchmark studies, analysis of customer choices and willingness to pay, and interpretation of commercial evidence to inform valuation decisions Commercial, strategic, and stakeholder judgment, with the ability to connect valuation findings to product economics, customer outcomes, competitive differentiation, and go-to-market priorities while building alignment and managing trade-offs across Product, Data Operations, Royalties Management, Data Strategy, Finance, Sales or Go-to-Market, Risk, Procurement, Legal, and related functions Professional integrity, independence, and communication skills, with the ability to make and defend evidence-based decisions that protect the enterprise and clearly explain methods, assumptions, uncertainty, and recommendations to technical and non-technical audiences Documentation, governance discipline, execution, and learning agility, producing transparent analysis and decision records that support legal, risk, audit, contractual, or regulatory review while managing several complex valuations, prioritizing by business impact and risk, and quickly understanding unfamiliar datasets, products, industries, and emerging use cases Education Bachelor’s or master’s degree, or equivalent experience, in finance, business administration, economics, or a related field E xperience in data licensing, royalties, transfer pricing, intangible-asset valuation, B2B information or subscription products, or regulated data environments; a relevant credential, such as the CFA, ASA, or CPA, is advantageous but not required Responsibilities Lead the