Job Description :
Lead Data Analyst, Cloud FinOps
Location: Bengaluru
Working Type: Hybrid – 3 days in office mandate

This 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 robust API connections between 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 using AWS Athena and/or Amazon Quicksight to address critical business needs.
- Develop data models and write sophisticated SQL queries in Athena for topics such as contractual 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 using CUR data to 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 underlying Cost and Usage Report (CUR) to identify the specific line items, billing dimensions, or data transformation steps causing error

📌 Lead Data Analyst, Cloud FinOps (Bengaluru)
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