FinOps Analytics Engineer

About the RoleBuild the most powerful and rich cost optimization engine by combining FinOps specialty and data modeling. Unleash the power of our extensive cloud data for various use cases.

• Design, build, and maintain data models that accurately represent cloud environments and financial operations
• Develop and implement data transformation processes to ensure data is clean, accurate, and ready for analysis, using SQL and dbt (data build tool)
• Develop and maintain dashboards, reports, and visualizations that provide visibility into cloud costs, usage, and savings opportunities
• Perform in-depth analysis of cloud spending patterns and identify trends, anomalies, and areas for improvement
• Communicate findings and recommendations to both technical and non-technical audiences
• Work closely with data engineers, analysts, and other team members to ensure data consistency and reliability across the platform
• Support the development of new product features by providing the necessary data insights and analytics
• Assist in the implementation of cost optimization tools and solutions within the platform
• Stay updated with the latest trends and advancements in FinOps, cloud cost management, and analytics engineering.

The role is impact-oriented - meaning a very short feedback loop from the research table to the actual value in the customer’s environment.

• In short - FinOps, Big Data, Dashboarding
• Proficiency in cloud technologies, including AWS, Azure, and GCP
• Extensive knowledge of cloud cost optimization (FinOps)
• Proficiency in big data analytics (SQL)
• Hands-on experience in BI/analytics platforms, building insightful customer-facing dashboards

• Hands-on experience with dbt (data build tool) for data transformation and modeling
• Experience in customer-facing roles (professional services/solution architect)