Payroll Assistant

منذ 4 أيام

00, الإمارات العربية المتحدة Bioprocess Engineering-TU Berlin عن بُعد دوام كامل
Role Description The Payroll Assistant is a part-time remote role supporting the financial administration of the Bioprocess Engineering chair at TU Berlin. The position involves assisting with payroll preparation and processing, including collecting and verifying time sheets, contracts, and pay-related data for staff and student workers. The Payroll Assistant will help maintain accurate payroll records, support the calculation of payroll taxes and deductions, and collaborate with accounting and administrative teams to ensure timely payments. Additional tasks include responding to payroll-related inquiries, helping reconcile discrepancies, and contributing to the continuous improvement of payroll processes in line with institutional and regulatory requirements. The role requires consistent communication with internal stakeholders while working independently in a remote setting. Qualifications
- Experience with payroll operations, including Payroll Services and Payroll Administration, and the ability to support routine payroll tasks accurately.
- Knowledge of Payroll Management practices, including maintaining employee payroll data and supporting compliance with relevant policies and procedures.
- Understanding of Payroll Taxes, including basic tax calculations, statutory deductions, and documentation requirements.
- Foundational Accounting skills to assist with reconciliations, documentation, and coordination with finance or central administration.
- Strong attention to detail, numerical accuracy, and ability to manage confidential information responsibly.
- Proficiency in common office and payroll software tools (e.g., spreadsheets, HR or payroll systems) and comfortable working remotely.
- Effective written and verbal communication skills in English; knowledge of German or willingness to learn is an asset.
- Relevant education or training in accounting, finance, business administration, or a related field is beneficial; prior experience in an academic or research environment is a plus.