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Senior, metro-based data role with common title but niche FinOps focus yields moderate applicant density.
FinOps and cloud cost analytics are transferable, but financial controls and governance increase domain specificity.
Explicit 8+ years plus mandatory FinOps/cloud cost analytics, SQL and forecasting make filters strict.
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Analyze large-scale cloud and infrastructure data to identify cost drivers and optimization opportunities.
Develop models for unit economics, utilization trends, anomaly detection, and translate insights for financial and operational decision-making.
Partner with engineering (SRE), Finance, and Product teams to deliver actionable insights, define KPIs, and develop monitoring frameworks to improve cost efficiency and operational controls.
8+ years experience in data analytics, business intelligence, or FinOps-related roles.
Experience with large datasets including billing, usage, financial data, and performance telemetry.
Proficiency in SQL, data manipulation, and data visualization tools (Tableau, Power BI, Looker).
Experience supporting financial analysis such as budgeting, forecasting, and variance analysis; exposure to cloud cost management or technology environments.
Experienced in forecasting, anomaly detection, and statistical modeling related to cloud cost and usage analysis.
Demonstrated ability to influence decision-making through clear storytelling and translating technical usage into business insights.
Strong collaborator with engineering and finance teams, capable of driving measurable cost savings through high-quality dashboards and early identification of anomalies.