Skills & Competencies

- 3+ years of experience in financial analysis, data operations, cloud billing, or a reporting/analytics support role and have solid 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 adhoc 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 resolutionand 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 registersalso 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

📌 Data Analyst (Gurugram)
🏢 Moody's Analytics
📍 Gurugram