Build spend visibility dashboards broken down by product, product feature, tenant, and team
Partner with Engineering infra and product teams to define tagging taxonomy, identify tagging gaps, and improve tagging to enable reporting
Make Cloud and AI spend billing data available in analytics and reporting tools, and with automated export to Excel / Google Sheets and finance systems
Develop cloud spend forecast models that incorporate sales forecasts and product roadmap initiatives
Define spend alarms based on budgets and forecasts
Drive investigations of spend incidents
Build capabilities to track unit economics of the product portfolio
Partner with product feature teams to drive visibility on metrics such as cost per customer, per operation, per API request, and AI token usage rates

Significant experience as a FinOps cloud spend analyst on a major cloud provider
Deep familiarity with cost and usage data and SQL based billing analysis, preferably on AWS
Strong exploratory data analysis skills in SQL
Ability to analyze and explore large, complex billing datasets
Experienced in analysis of a cloud vendor’s billing data in SQL
Able to independently investigate anomalies, identify cost drivers, and answer questions on spend
Experience in a FinOps role at a B2B SaaS company with a multi-tenant architecture
Familiarity with the challenge of attributing shared infrastructure costs to specific customers or product features
Must have built cost reporting and dashboards for spend visibility
Experience in BI tooling such as AWS QuickSight, GCP Data Studio, Tableau, Looker, or similar
Spreadsheet skills
Experience working with Engineering on tagging and labelling and driving cost visibility into development processes
Familiarity with AWS/GCP/Azure savings mechanisms
Strong communication skills

Principal Cloud FinOps Analyst

Key skills