Job Title

Lead Data Analyst, Cloud FinOps Location: Bengaluru Working Type: Hybrid – 3 days in office mandateThis role is critical for transforming raw cloud billing data into actionable financial insights. The ideal candidate will possess advanced data engineering capabilities to integrate various data sources and deep expertise in AWS cost and usage reporting to build, maintain, and troubleshoot complex FinOps analytical solutions.Key Responsibilities The successful candidate will be responsible for filling the identified technical and analytical gaps: 1. Data Engineering & Integration (API/ETL) API Development:Design and write production-quality code (e.g., Python, Go) to establish and maintain robustAPI connectionsbetween internal SaaS products and the FinOps data tool. Ensure data quality, integrity, and timely availability across all integrated sources. 2. Advanced AWS Cost Reporting & Analysis Custom Report Generation:Own the end-to-end process of generating complex, custom reports usingAWS Athenaand/orAmazon Quicksightto address critical business needs. Develop data models and write sophisticated SQL queries in Athena for topics such ascontractual commitment tracking , validation of complex cloud charges, and detailed spend attribution. Design and deliver highly effective Quicksight dashboards and visualizations based on these custom datasets. Contract Negotiation Support:Generate validated, specialized datasets and detailed historical analysis usingCUR datato directly support and inform cloud contract negotiations and long-term financial strategy. 3. Reporting Maintenance & Troubleshooting Advanced Troubleshooting:Act as the Tier 3 escalation point for issues with established FinOps reports and dashboards in Quicksight and other tools. Root Cause Analysis (RCA):Deeply review the underlyingCost and Usage Report (CUR)to identify the specific line items, billing dimensions, or data transformation steps causing errors or inaccuracies in reports. Solution Implementation:Propose and implement code/query updates and necessary data schema changes to correct report errors, improve performance, and ensure reporting stability.Required Technical Skills & Experience This role requires a unique combination of engineering and specialized FinOps data expertise. FinOps Data Expertise (Non-Negotiable) In-Depth CUR Knowledge:Demonstrated deep, hands-on understanding of theAWS Cost and Usage Report (CUR)schema, including fields related to pricing, usage types, resources, and billing. AWS FinOps Tools:Expert proficiency withAWS Athenafor querying massive datasets andAmazon Quicksightfor advanced data visualization and dashboard development. Experience invalidating cloud provider chargesagainst contractual agreements and identifying billing anomalies using the raw CUR data. Data Engineering & Programming Expert SQL:Mastery of complex SQL for data transformation, aggregation, and performance tuning (specifically in an Athena/Trino environment). Programming Proficiency:Strong proficiency in a programming language (preferablySQL ) for writing integration code, working with APIs, and developing ETL/data pipelines. Experience with BI/reporting tools and integrating data into internal platforms (APIs, scripts, or ETL pipelines). Familiarity with data warehousing concepts, including partitioning, schema design, and performance optimization General Minimum of 5 years of experience in a Data Analyst, Data Engineer, or Business Intelligence role, with at least 2 years focused specifically on Cloud Financial Management (FinOps). Experience working collaboratively with Finance and Engineering teams to translate business questions into technical data solutions.