About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
Nebius is looking for a AP Data Analysis & Continuous Improvement Specialist.
You will own the data and reporting layer of our AP function - building and maintaining the dashboards and KPI frameworks that give the team and leadership a real-time view of performance. Beyond reporting, you will lead continuous improvement initiatives end-to-end: identifying inefficiencies, designing solutions, coordinating input from the team and driving implementation.
You sit at the intersection of AP operations, data and process design. You will partner closely with the Global AP SME to ensure improvement initiatives align with global standards, and with the broader team to translate operational experience into measurable change.
You’re welcome to work in our offices in Amsterdam.
Your responsibilities will include:
Reporting and analytics
- Own AP reporting and dashboard management - maintain accuracy, relevance and accessibility of operational data
- Produce and interpret KPI reporting: on-time payment, ZIP aging, hold rates, escalation coverage and root cause analysis
- Identify trends, anomalies and patterns in AP data and translate them into actionable insights for the team and leadership
- Build and maintain automated reporting workflows - reduce manual data handling wherever possible
- Prepare ad hoc analysis for Finance leadership as needed
Continuous improvement
- Lead continuous improvement initiatives end-to-end - coordinate input from the team including Senior AP Accountants, design solutions, drive implementation and track outcomes
- Work with the Global AP SME to ensure improvement initiatives align with global process standards before implementation
- Support automation efforts and reduction of manual work within AP workflows
- Document process changes and ensure improvements are embedded and sustained
- Monitor the impact of changes through data - close the loop between initiative and outcome
We expect you to have:
- 4-6 years of experience in Finance Operations, AP analytics, FP&A, or a comparable analytical role within Finance
- Strong analytical skills with hands-on experience building dashboards and KPI frameworks - Excel (advanced), BI tools (Tableau, Power BI, Looker or similar)
- Experience leading or coordinating process improvement projects from identification through to implementation
- Solid understanding of AP processes - you do not need to have been an AP accountant, but you need to understand how AP works
- Comfortable working with and extracting data from ERP systems - NetSuite experience is a strong advantage
- Structured, project-oriented approach to your work
- Strong communication skills - able to translate data into stories that non-analytical stakeholders can act on
- Excellent written and verbal English - English is our primary working language and the expected standard of communication throughout the team
- Working knowledge of spoken and written English
It will be an added bonus if you have:
- Familiarity with Lean, Six Sigma or another continuous improvement methodology
- Experience with Zip, Blackline or similar AP-specific tools
- Exposure to automation tools or scripting (Python, SQL) for data workflows
- Experience in a high-growth or technology company
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and ownership
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Skills Required
- 4-6 years of experience in Finance Operations, accounts payable analytics, FP&A, or a comparable analytical finance role
- Advanced Excel skills
- Hands-on experience building dashboards and KPI frameworks using BI tools such as Tableau, Power BI, Looker, or similar
- Experience leading or coordinating process improvement projects from identification through implementation
- Solid understanding of accounts payable processes
- Ability to work with and extract data from ERP systems
- Structured, project-oriented approach
- Strong communication skills, including translating data into actionable insights for non-analytical stakeholders
- Excellent written and verbal English
- Familiarity with Lean, Six Sigma, or another continuous improvement methodology
- Experience with Zip, BlackLine, or similar accounts payable tools
- Exposure to automation tools or scripting such as Python or SQL for data workflows
- Experience in a high-growth or technology company
What We Do
Cloud platform specifically designed to train AI models
