We are looking for a Staff Data Analyst with strong FinOps (Cloud Financial Operations) experience to support our Data Platform/Engineering teams. The ideal candidate should bring both technical data skills and financial acumen.
Responsibilities:
- Partner with engineering, product, and finance teams to analyze cloud spend (AWS/GCP/Azure or equivalent) and identify optimization opportunities.
- Build dashboards, reports, and cost allocation models for chargeback/showback.
- Track and forecast cloud usage (compute, storage, networking) and align with business/LOB needs.
- Perform deep dive analysis on usage anomalies, budget overruns, and ROI of infrastructure programs.
- Support quarterly/annual planning with insights into capacity and cost drivers.
Minimum requirements:
- Strong SQL and data visualization skills (e.g., Tableau, Looker, Power BI).
- Hands-on with cloud cost and billing data (e.g., AWS CUR, GCP Billing Export, Azure Cost Management).
- Experience with FinOps practices like tagging, cost allocation, budgeting/forecasting, and efficiency reporting.
- Knowledge of scripting languages (Python, R) for automation/analysis is a plus.
- Ability to communicate findings clearly to both technical and non-technical stakeholders.
- Bachelor’s/Master’s degree in Computer Science/ Engineering or a related field.
Would be a plus:
- Familiarity with FinOps Foundation framework and KPIs.
- Prior experience working in large-scale data platforms or cloud infrastructure teams.
- Exposure to chargeback/pricing models, unit economics, or financial planning tools.
We offer
- Opportunity to work on cutting-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, vision, dental, etc.
- Corporate social events
- Professional development opportunities
- Well-equipped office
About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.
