FinOps Reporting & Data Operations 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 & Competencies 5+ years of experience in financial analysis, data operations, cloud billing, or a reporting/analytics support role Strong attention to detail and data management skills, including excellent data hygiene practices, working with large datasets, and identifying anomalies Hands-on experience with Microsoft Fabric (Lakehouses, Dataflows, Pipelines) for ingesting and transforming cloud/SaaS usage data at scale Experience with cloud cost reporting and financial data environments, including exposure to AWS, Azure, or GCP billing exports SQL proficiency for data extraction, transformation, and reporting, along with experience using BI/reporting tools (Power BI, Looker, Tableau, or similar) Familiarity with FinOps concepts (tagging, chargeback, showback, rightsizing, reserved instance management) and exposure to IT asset management or software license tracking processes Strong written English communication and collaboration skills, with experience working in cross-timezone environments with US-based stakeholders, preferably within financial services, technology, or other data-intensive industries 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. Education Bachelor’s degree in Finance, Accounting, Information Systems, or a related field FinOps Certified Practitioner and/or FOCUS Training & Certification - preferred