FinOps Reporting & Data Operations Analyst
Moody's · Heredia, Heredia Province, Costa Rica ·
- Work mode
- Onsite
- Category
- Operations
- Experience
- 5+ years
- Visa sponsorship
- No
- Company size
- 1000+
Analyzes cloud and SaaS spending, reconciles invoices, and builds cost reports using Microsoft Fabric, SQL, and BI tools to optimize IT budgets for a global risk assessment firm.
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
Responsibilities
Manage FinOps data, ensure billing accuracy, deliver reporting, enforce tagging, reconcile invoices, track optimizations, support ad‑hoc requests, and maintain documentation.
Understand, manage, and maintain the FinOps data schema — including cloud billing data structures across AWS, Azure, and GCP — ensuring consistent field definitions, cost allocation hierarchies, and data integrity across reporting cycles
Produce slide-ready reporting materials, dashboards, and cost summaries for BU reviews, exec reporting, and ad-hoc leadership requests
Maintain and enforce cloud resource tagging and mapping rules; identify and remediate untagged or mis-tagged resources
Perform invoice reconciliation for cloud and SaaS vendors — matching billing data against contracts, identifying discrepancies, and flagging for resolution
Support pre-production QA and data validation on all reporting outputs before delivery to senior stakeholders
Track optimization initiative progress (rightsizing, reserved instance coverage, license utilization) and update tracking registers
Respond to ad-hoc data requests from the License & AI Governance Analyst and Senior FinOps Analyst with accurate, well-formatted outputs
Maintain team documentation, SOPs, and data dictionaries to ensure process continuity
About the Team
This role sits within the FinOps & Technology Finance function, partnering closely with technology, finance, and engineering stakeholders across the organization. The team focuses on driving cost transparency, governance, and optimization across enterprise software and emerging AI tooling, enabling the business to scale responsibly while maximizing value from its technology investments.
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.