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 The Accounts Receivable Analyst will be responsible for driving data-based insights, automation, and analytical excellence within the Accounts Receivable (AR) domain. This role plays a key part in strengthening financial accuracy, improving receivables processes, and supporting strategic decision-making across Finance. The AR Analyst will independently manage end-to-end analytical processes — from data modeling and reconciliation automation to performance reporting — while partnering with cross-functional stakeholders to ensure data integrity and operational efficiency.

Responsibilities

will include: Analytical Strategic Finance Support Analyze AR and revenue data to identify patterns, forecast trends, and highlight process improvement opportunities. Develop dashboards and analytical models to monitor receivables health, DSO performance, and collection efficiency. Provide actionable insights and recommendations to support strategic decision-making in Finance and Business Operations.

Process Optimization Automation Design, implement, and maintain automated AR data workflows and reconciliation tools. Partner with Accounting and Engineering teams to streamline data pipelines between ERP (NetSuite) and reporting systems. Continuously improve data accuracy, reconciliation speed, and operational efficiency through automation and analytical solutions.

, Power BI, Tableau, or Looker) providing visibility into receivables, revenue timing, and intercompany transactions. Translate complex financial data into clear and concise management insights. Support monthly and quarterly closing with data validation, variance analysis, and reconciliation analytics.

Cross-Functional Collaboration Partner with Accounting, Treasury, and Business Operations teams to ensure consistent AR data definitions and accuracy. Collaborate with Data and Engineering teams to enhance system integrations and data quality. Contribute to financial systems improvements and new tool evaluations.

Governance Compliance Ensure data integrity and compliance with accounting principles and internal controls.

Requirements

through data-driven reconciliations and reporting traceability. We expect you to have: Bachelor’s or Master’s degree in Accounting, Finance, Economics, or Data Analytics. 4–6 years of experience in Finance, Accounting, or Data Analytics with a focus on AR or revenue processes.

Strong analytical background with proficiency in SQL and Excel (advanced functions, pivot tables, modeling). Experience with BI tools (Power BI, Tableau, or similar). Knowledge of ERP systems (preferably NetSuite) and data integration workflows.

Working knowledge of US GAAP or IFRS accounting principles. Ability to independently identify issues, propose solutions, and drive process improvement. Excellent communication skills with the ability to explain analytical results to non-technical audiences.

Fluency in English (written and spoken). It will be an added bonus if you have: Experience in a multinational or technology-driven finance environment. Familiarity with tax reporting and intercompany processes.

Benefits

Perks

: Compet