
FinOps Analyst, Cloud & AI
Posted Oct 12

Posted Oct 12
This is a fully remote position, open to applicants in Romania.
• Gather and validate data related to cloud and AI costs, usage, contracts, licenses, and operations for the purposes of reporting, forecasting, allocation, and informed decision-making.
• Establish and uphold measurement dimensions, tagging and metadata standards, along with allocation models across various business units, products, applications, projects, environments, and responsible owners.
• Examine cost drivers and unit economics associated with cloud services and AI workloads.
• Assess actual expenditures in relation to budgets, forecasts, business cases, total cost of ownership (TCO), commitments, and targets.
• Facilitate cost, usage, and forecast reviews in collaboration with technology and business stakeholders.
• Supervise budgets, thresholds, quotas, and commitments, while identifying and escalating any discrepancies.
• Detect anomalies, identify underutilized or overprovisioned resources, inefficient service or model choices, and unutilized contractual benefits.
• Manage optimization initiatives and oversee expected versus realized savings.
• Offer insights on cost, usage, and value to inform decisions regarding scaling, continuing, or discontinuing AI initiatives.
• Formulate and uphold policies, standards, and guidelines for tagging, budgets, approved services and AI models, regions, quotas, commitments, and approval workflows.
• Develop dashboards, recurring reports, and decision-making materials for IT, Finance, Controlling, Procurement, and Management.
• Automate processes for data collection, reporting, alerts, allocation, and tracking of optimization.
• Coordinate FinOps activities including forecasting, budgeting, month-end procedures, anomaly reviews, and optimization strategy.
• A university degree in Business Informatics, Computer Science, Business Administration, Finance/Controlling, or a related field; relevant vocational training supplemented by practical experience is also encouraged.
• 1–4 years of relevant experience in FinOps, cloud cost management, IT controlling, data analytics, cloud operations, or a similar environment.
• Strong understanding of consumption-based cost models for cloud and AI services.
• Practical experience with cost allocation, tagging, budgeting, forecasting, showback/chargeback, unit economics, TCO, reporting, or anomaly analysis.
• Initial hands-on experience with tools for cloud cost management, business intelligence/reporting, or data analytics.
• Experience with Power BI, SQL, APIs, or scripting is considered an advantage.
• Familiarity with AI-specific cost drivers and consumption metrics, including tokens, model calls, GPU usage, agents, and transactions.
• A keen interest in further developing expertise in FinOps.
• Familiarity with FinOps principles or holding a certification is a plus.
• Strong analytical skills, a structured approach, numerical confidence, and meticulous attention to detail.
• Ability to convert cost and usage data into clear insights, recommendations, and actionable follow-up steps.
• A collaborative and proactive working style, demonstrating ownership, reliability, and a pragmatic, solution-oriented mindset.
• Proficient communication skills with both technical and commercial stakeholders in an international context.
• A very good command of the English language.
• Proficiency in the German language would be advantageous.
• An equal opportunity employer dedicated to diversity and inclusion.
• Employment opportunities available without regard to race, color, religion, creed, gender, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law.
Mindrift
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