Finance Project Analyst
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Finance Project Analyst: Managing operational financial data, reporting, and tracking processes for institutional agreements with an accent on data accuracy, contract terms validation, and system-based automation. Focus on preparing financial datasets, supporting invoice platform implementation, and coordinating cross-functional workflows to ensure timely financial outputs.
Location: Cluj-Napoca, Romania (Onsite)
Company
is a leading Open Access publisher headquartered in Switzerland, managing a portfolio of over 500 journals and collaborating with a global network of academic institutions.
What you will do
- Prepare and validate financial datasets for institutional agreement reporting and partner settlements.
- Maintain structured contract terms tracking and support the migration to automated invoice platforms.
- Monitor invoice distribution and control processes while escalating exceptions.
- Support quarterly financial reporting and payment calculation workflows.
- Document financial workflows and reporting procedures to ensure institutional knowledge retention.
- Guide junior team members on data preparation and reporting tasks.
Requirements
- Bachelor's or Master's degree in Finance, Economics, or Business Administration.
- Minimum of 2 years of experience in financial data preparation and reporting.
- Advanced proficiency in Microsoft Excel for data analysis and management.
- Strong analytical skills with experience in KPI analysis and performance measurement.
- Excellent written and verbal communication skills in English.
- Ability to collaborate effectively with cross-functional teams including Finance, IT, and Data.
Nice to have
- Certifications in Power BI, Advanced Excel, or Basic SQL.
- Familiarity with ERP systems or financial software.
- Experience supporting system testing activities and issue resolution.
Culture & Benefits
- Opportunity to work in a global academic publishing environment.
- Focus on process-driven work and data accuracy.
- Collaboration with international teams across scientific disciplines.
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