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 Accounts Receivable Accountant 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 Accountant 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
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 processes.
•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.
Reporting & Data Visualization
•Develop and maintain BI dashboards and reports (e.g., Power BI, Tableau, or Looker) providing visibility into receivables, revenue timing, and intercompany transactions.
•Translate complex financial data into clear and concise management reporting.
•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 implementations.
Governance & Compliance
•Ensure data integrity and compliance with accounting principles and internal controls.
•Support audit and compliance requirements through data-driven reconciliations and reporting traceability.
Requirements
•Bachelor's or Master's degree in Accounting, Finance, Economics, or Data.
•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.
•Working knowledge of US GAAP or IFRS accounting standards.
•Ability to independently identify issues, propose solutions, and drive process improvements.
•Excellent communication skills with the ability to explain analytical results to non-technical audiences.
•Fluency in English (written and spoken).
•Experience in a multinational or technology-driven finance environment is a plus.
•Familiarity with tax reporting and intercompany transactions is a plus.
Competencies & Behavioral Traits
•Strong analytical and critical thinking.
•Proactive problem-solving and ownership.
•Structured approach to managing complex datasets and processes.
•Ability to translate data into strategic business insights.
•Collaboration across Finance, Operations, and Engineering.
•Continuous improvement mindset with focus on scalability and efficiency.
•Adaptability and comfort in a dynamic, fast-paced environment.
Conditions
•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
