# FinOps Analyst Cloud & AI

## About the Role

Freudenberg is hiring a FinOps Analyst Cloud & AI to support cloud and AI cost management across the business. The role focuses on turning consumption, cost, and contract data into reliable insights that can be used for reporting, forecasting, allocation, and decision-making.

You will work closely with IT, Finance, Controlling, Procurement, and management stakeholders to improve visibility into cloud and AI spend. The position also supports the development of cost models, governance guardrails, and optimization initiatives across business units, products, applications, projects, environments, and accountable owners.

This role is based in Brașov, Romania, with remote work options available in Romania.

## Key Responsibilities

– Consolidate and validate cloud and AI cost, usage, contract, license, and operational data for reporting and decision-making.
– Define and maintain measurement dimensions, tagging and metadata standards, and allocation models.
– Analyze cost drivers and unit economics across cloud services and AI workloads.
– Compare actual spend against budgets, forecasts, business cases, TCO, commitments, and targets.
– Review costs and forecasts regularly with technical and business stakeholders.
– Monitor budgets, thresholds, quotas, and commitments, and escalate deviations when needed.
– Identify anomalies, underused or overprovisioned resources, inefficient services or models, and unused contractual benefits.
– Support optimization initiatives and track expected and realized savings.
– Provide cost, usage, and value insights to inform decisions on scaling, continuing, or stopping AI initiatives.
– Develop and maintain policies, standards, and guardrails for tagging, budgets, approved services and AI models, regions, quotas, commitments, and approvals.
– Create dashboards, recurring reports, and decision materials for multiple business functions.
– Automate recurring data collection, reporting, alerts, allocation, and optimization tracking.
– Coordinate 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.
– Hands-on experience with cloud cost management, BI/reporting, or data analytics tools.
– Strong analytical and structured mindset.
– Numerical confidence and attention to detail.
– Ability to translate cost and usage data into clear insights and recommendations.
– Collaborative and proactive working style with ownership, reliability, and a pragmatic, solution-oriented approach.
– Ability to communicate effectively with technical and commercial stakeholders in an international environment.
– Very good English.
– German language skills are an advantage.

## Preferred Skills

– Experience with Power BI.
– Experience with SQL.
– Experience with APIs.
– Experience with scripting.
– Familiarity with FinOps principles or certification.
– Knowledge of AI-specific cost drivers and consumption metrics, such as tokens, model calls, GPU usage, agents, and transactions.
– Interest in further developing FinOps expertise.

## Cloud Platforms & Technologies

### Cloud and AI Cost Management
– Cloud cost management
– AI consumption metrics
– Cost allocation
– Tagging
– Metadata standards
– Budgets
– Forecasting
– Showback/chargeback
– Unit economics
– TCO
– Anomaly analysis

### Reporting & Analytics
– Power BI
– SQL
– APIs
– Scripting

### AI Consumption Metrics
– Tokens
– Model calls
– GPU usage
– Agents
– Transactions

## FinOps Responsibilities

– Consolidate and validate cloud and AI spend data for reporting, forecasting, allocation, and decision-making.
– Maintain tagging, metadata, and allocation structures across business units and workloads.
– Analyze cost drivers, unit economics, and consumption trends across cloud and AI services.
– Compare actuals with budgets, forecasts, business cases, TCO, commitments, and targets.
– Monitor thresholds, quotas, commitments, and budget performance.
– Identify anomalies, inefficiencies, and underutilized resources.
– Support optimization initiatives and track savings.
– Build governance policies and guardrails for cloud and AI consumption.
– Produce dashboards, recurring reports, and management materials.
– Automate FinOps processes, including data collection, alerts, allocation, and optimization tracking.

## Benefits

– Flexible work models.
– Meal allowance.
– Easy access by car or public transport.
– Corporate events.
– A diverse and inclusive working environment.

## Useful Links

– LinkedIn: https://www.linkedin.com/jobs/view/4478582139
– 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 finance, AI consumption, and operational reporting. It involves close collaboration with both technical and commercial stakeholders and covers core FinOps activities such as forecasting, allocation, governance, and optimization. The position also provides exposure to AI-specific cost drivers and the development of sustainable cost models for cloud and AI initiatives. Remote work within Romania and flexible working models add practical appeal.