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Data Analyst

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Gurugram, IndiaPosted Jul 26, 2026
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Data Analyst

Moody's Corporation Gurugram, Haryana, India

Data Analyst

Moody's Corporation Gurugram, Haryana, India 2 days ago Over 200 applicants

See who Moody's Corporation has hired for this role

Save 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 and have 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. Also experience with cloud cost management tools (Cloudability, CloudZero, CloudHealth, etc.)
  • 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 and 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 also 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 Cloud FinOps & AI Governance function, which is part of the broader Finance organization at Moody's. The team operates as a center of excellence for cloud and SaaS cost transparency, working closely with Finance, Technology, and Engineering leadership across the organization.

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.

  • Seniority level

    Mid-Senior level

  • Employment type

    Full-time

  • Job function

    Information Technology

  • Industries

    Financial Services

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