Sr Product Analyst
Moody's
- Location
- New York, NY
- Work model
- On-Site
- Level
- Senior
- Salary
- $119.1k/yr
Skills
About this role
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 Minimum 5 years of experience as a Product Analyst supporting agile product lifecycle development, with demonstrated ownership of product analysis deliverables from discovery through delivery Experience independently managing requirements and design-related activities for complex, multi-system initiatives with strong accountability for accuracy, completeness, and follow-through Strong ability to translate business needs, user feedback, and data analysis into clear requirements, high-quality user stories, acceptance criteria, use cases, process flows, and supporting documentation that enable engineering teams to deliver measurable product outcomes Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use Strong technical acumen and experience partnering closely with software engineering, analytics, design, and business teams to clarify scope, resolve ambiguity, and support successful delivery Extensive experience using project and backlog management tools to maintain a well-prioritized backlog, manage dependencies, track delivery progress, and support agile ceremonies Finance, accounting, and/or data background preferred Education Bachelor's degree required in computer science, information systems, or related fields; advanced degree preferred with relevant experience Responsibilities Support the definition and delivery of digital solutions that translate business needs into customer-focused product outcomes Translate product vision and business requirements into engineering-ready user stories, acceptance criteria, and measurable delivery outcomes Take ownership of product analysis deliverables from discovery through implementation, proactively identifying risks, resolving ambiguity, and driving follow-through across teams Work directly with end users and business partners to understand needs, validate requirements, and deliver quality products and data Leverage AI tools as part of daily work to improve the speed, quality, and efficiency of product analysis, documentation, backlog management, and cross-functional collaboration Maintain an evergreen product roadmap and prioritized backlog to ensure the team is focused on the highest-value work, delivery timelines are clear, and cross-team dependencies are actively managed Apply strong technical acumen when partnering with software engineering and analytics teams to resolve complex delivery challenges Lead with curiosity, embrace responsible use of AI tools, and foster a culture of innovation, collaboration, diversity, inclusion, and accountability About the Team Our Product Management team is responsible for defining, delivering, and supporting scalable