Inetum2
Business Analyst - Financial Consolidation
Company
Role
Business Analyst - Financial Consolidation
Location
Job type
Full-time
Posted
Yesterday
Salary
Job description
As a Functional Administrator, you ensure the smooth operation of the Financial Consolidation tool and provide Level 1 user support, especially during quarterly closings.
Key Tasks
- Manage data entry and consolidation environments (exchange rates, scopes, rules)
- Administer security and access controls (profiles, groups, data access)
- Provide first-level support to users (access issues, blocking controls)
- Ensure data accuracy and consistency across systems (ERPs, data warehouses)
- Monitor the application and support quarterly closing activities
- Contribute to process improvements and maintain documentation
- Continuously enhance data models based on business and user needs
- Collaborate closely with Finance, Accounting, and IT teams
Professional / Academic Background
- Solid understanding of financial and accounting principles
- Strong interest in information systems and data-driven environments
- Approximately 3–4 years of professional experience in a similar or equivalent role
Languages
- English: B2 required (C1 mandatory if French is not spoken)
- French: B2 preferred (B1 acceptable with commitment to learn and improve French)
Skills
Technical Skills
- Knowledge of SAP Financial Consolidation (SAP FC) is a plus (not mandatory)
- Strong interest and basic knowledge in data modelling and database architecture
- Fundamental understanding of financial consolidation concepts
- Basic knowledge of IFRS standards
Soft Skills
- Strong collaboration and organizational abilities
- Good analytical and synthesis skills, with the ability to communicate key messages clearly
- Excellent interpersonal and communication skills, enabling effective interaction with various stakeholders
Tools & Technologies
- Accounting and EPM tools: SAP FC (or similar), Hyperion Financial Management, Oracle, Tagetik
- Office tools: Excel, Word, PowerPoint
- Data & Analytics tools: SAS, Python, Tableau, Power BI, Alteryx, Dataiku
Modelo híbrido, 50/50


