Account Receivable Accountant

The Accounts Receivable Accountant will drive data-based insights, automation, and analytical excellence within the Accounts Receivable (AR) domain, playing a key part in strengthening financial accuracy, improving receivables processes, and supporting strategic decision-making across Finance.

Key Responsibilities

Analytical & Strategic Finance Support

• Analyse 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.
• 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.
• Translate complex financial data into clear and concise management reports.
• 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 implementation.

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.

Key Qualifications & Experience

Must-have requirements:

• Bachelor’s or Master’s degree in Accounting, Finance, Economics, or Data Science.
• 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 principles.
• 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).

Preferred qualifications:

• Experience in a multinational or technology-driven finance organization.
• Familiarity with tax reporting and intercompany transactions.

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.