AI Hiring Index

Nebius · Operations · Posted 2026-09-21

AP Data Analysis & Continuous Improvement Specialist

Nebius · Amsterdam, Netherlands

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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.

The role

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

Ex …

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