# FinOps Analyst Cloud & AI
## About the Role
This role supports cloud and AI financial operations by ensuring that cost, usage, contract, license, and operational data is accurate, traceable, and suitable for reporting and decision-making. The position is based within Freudenberg Business Services SRL and supports stakeholders across IT, Finance, Controlling, Procurement, and Management.
The focus of the role is to improve visibility into cloud and AI spending, strengthen allocation and forecasting processes, and support data-driven decisions on optimization and sustainable cost models. It also plays a key part in establishing standards, controls, and reporting practices across business units, products, applications, projects, environments, and accountable owners.
The role involves close collaboration with technical and commercial teams in an international environment. It combines analytical work, stakeholder engagement, reporting, and process coordination to support ongoing FinOps activities.
## Key Responsibilities
– Consolidate and validate cloud and AI cost, usage, contract, license, and operational data for reporting, forecasting, allocation, and decision-making.
– Define and maintain measurement dimensions, tagging and metadata standards, and allocation models across relevant organizational structures.
– Analyze cost drivers and unit economics for cloud services and AI workloads, including compute, storage, data transfer, licenses, tokens, model usage, GPU/CPU consumption, and transactions.
– Compare actual spend with budgets, forecasts, business cases, TCO, commitments, and targets; identify trends, risks, and optimization opportunities.
– Review cost, usage, and forecast results regularly with business and technology stakeholders; monitor budgets, thresholds, quotas, and commitments.
– Identify anomalies, underutilized or overprovisioned resources, inefficient service or model choices, and unused contractual benefits.
– Support and track optimization initiatives, including expected and realized savings.
– Provide cost, usage, and value insights to support decisions on scaling, continuing, or stopping AI initiatives.
– Help define policies, standards, and guardrails for tagging, budgets, approved services and AI models, regions, quotas, commitments, and approvals.
– Build dashboards, recurring reports, and decision materials for internal stakeholders.
– Automate recurring data collection, reporting, alerts, allocation, and optimization tracking.
– Coordinate key FinOps activities such as forecasting, budgeting, month-end processes, anomaly reviews, and optimization planning.
## Required Skills
– University degree in Business Informatics, Computer Science, Business Administration, Finance/Controlling, or a comparable field; relevant vocational training with practical experience is also acceptable.
– 1–4 years of relevant experience in FinOps, cloud cost management, IT controlling, data analytics, cloud operations, or a similar environment.
– Good understanding of cloud and AI consumption-based cost models.
– Practical exposure to cost allocation, tagging, budgeting, forecasting, showback/chargeback, unit economics, TCO, reporting, or anomaly analysis.
– Initial hands-on experience with cloud cost management, BI/reporting, or data analytics tools.
– Strong analytical and structured thinking, numerical confidence, and attention to detail.
– Ability to turn cost and usage data into clear insights, recommendations, and follow-up actions.
– Collaborative, proactive, and solution-oriented working style with ownership and reliability.
– Ability to communicate effectively with technical and commercial stakeholders in an international environment.
– Very good English language skills.
– German language skills are an advantage.
## Preferred Skills
– Experience with Power BI.
– Experience with SQL.
– Experience with APIs.
– Experience with scripting.
– Familiarity with AI-specific cost drivers and consumption metrics such as tokens, model calls, GPU usage, agents, and transactions.
– Interest in developing further FinOps expertise.
– Familiarity with FinOps principles or certification.
## Cloud Platforms & Technologies
### Cloud Cost Management and FinOps
– Cloud cost management
– FinOps
– Cost allocation
– Tagging
– Showback / chargeback
– Budgeting
– Forecasting
– Anomaly analysis
– Unit economics
– Total cost of ownership (TCO)
### Data, Reporting, and Analytics
– Power BI
– SQL
– APIs
– Scripting
– Dashboards
– Reporting
– Data analytics tools
### AI and Consumption Metrics
– Tokens
– Model calls
– GPU usage
– CPU consumption
– Agents
– Transactions
– Model usage
## FinOps Responsibilities
– Consolidate and validate cloud and AI financial and operational data.
– Maintain tagging, metadata, and allocation standards.
– Analyze cloud and AI consumption patterns and unit economics.
– Compare spend against budgets, forecasts, business cases, TCO, and commitments.
– Monitor budgets, thresholds, quotas, and commitments, and escalate deviations.
– Identify optimization opportunities, resource inefficiencies, and unused contractual benefits.
– Support reporting on cloud and AI value to inform scaling and investment decisions.
– Establish policies and guardrails for cost governance.
– Automate recurring FinOps reporting and tracking activities.
– Coordinate forecasting, budgeting, month-end processes, anomaly reviews, and optimization planning.
## Benefits
– Flexible work models.
– Meal allowance.
– Easy access by car or public transport.
– Corporate events.
– International and diverse working environment.
## Useful Links
– LinkedIn / Application: https://www.linkedin.com/jobs/view/4478582139
## Why You Might Be Interested
This role offers the opportunity to work at the intersection of cloud, AI, finance, and data analysis. It is well suited to someone who enjoys turning complex usage data into actionable insights and helping shape cost governance and optimization practices. The position also provides exposure to stakeholders across IT, Finance, Controlling, Procurement, and Management. With responsibilities spanning reporting, automation, and decision support, it offers a broad FinOps scope in an international environment.