Data Analysis & Insights
- Collect clean and analyze financial and operational data from multiple internal sources (ERP systems reporting tools spreadsheets)
- Translate business questions into analytical models and actionable insights
- Deliver adhoc analyses business cases and recommendations to stakeholders
Advanced Analytics & Automation
- Build and maintain predictive and analytical models (forecasting anomaly detection scenario analysis) to support budgeting forecasting and investment decisions
- Integrate AI and machinelearning capabilities into controlling and reporting processes
- Continuously experiment test hypotheses and refine analytical approaches
Reporting & Visualization
- Design and maintain automated dashboards and visualizations using BI and lowcode tools
- Improve transparency and reliability of financial and operational reporting
Data Engineering & Pipelines
- Design and maintain automated data pipelines in Python including data transformation ETL processes and data quality checks
- Reduce manual effort through automation and standardized data flows
Collaboration & Knowledge Sharing
- Work closely with finance IT and data engineering teams to identify opportunities for process improvement and automation
- Document solutions clearly and support selfservice analytics through training and knowledge transfer
Qualifications :
Technical Skills
- Advanced proficiency in Python for data analysis modeling and automation (e.g. pandas numpy scikitlearn)
- Experience with BI and lowcode analytics tools (e.g. Power BI Power Apps VS Code or similar)
- Strong foundation in statistics and applied AI/ML for business use cases
- Ability to work endtoend on complex datasets from exploration to model design and interpretation
Business & Communication Skills
- Solid understanding of finance and controlling processes KPIs and reporting requirements
- Strong ability to translate business needs into analytical solutions
- Clear communication with both technical and nontechnical stakeholders
- Strong problemsolving documentation and timemanagement skills
- Ability to work autonomously in a structured yet evolving environment
Education & Experience
- Bachelors or Masters degree in Business Analytics Finance Data Science Computer Science or a related field
- 25 years of experience as a Data Analyst preferably in a business controlling or finance context
- Professional working proficiency in English plus French and/or Dutch
Practical Information
- Location: Brussels area
- Work regime: Fulltime
- Onsite presence: 2 days per week by default
Additional Information :
For nonEU candidates
- Must hold a valid work permit for Belgium
- Must have a residence permit confirming right of residence
Remote Work :
No
Employment Type :
Full-time
Data Analysis & InsightsCollect clean and analyze financial and operational data from multiple internal sources (ERP systems reporting tools spreadsheets)Translate business questions into analytical models and actionable insightsDeliver adhoc analyses business cases and recommendations to stakeholde...
Data Analysis & Insights
- Collect clean and analyze financial and operational data from multiple internal sources (ERP systems reporting tools spreadsheets)
- Translate business questions into analytical models and actionable insights
- Deliver adhoc analyses business cases and recommendations to stakeholders
Advanced Analytics & Automation
- Build and maintain predictive and analytical models (forecasting anomaly detection scenario analysis) to support budgeting forecasting and investment decisions
- Integrate AI and machinelearning capabilities into controlling and reporting processes
- Continuously experiment test hypotheses and refine analytical approaches
Reporting & Visualization
- Design and maintain automated dashboards and visualizations using BI and lowcode tools
- Improve transparency and reliability of financial and operational reporting
Data Engineering & Pipelines
- Design and maintain automated data pipelines in Python including data transformation ETL processes and data quality checks
- Reduce manual effort through automation and standardized data flows
Collaboration & Knowledge Sharing
- Work closely with finance IT and data engineering teams to identify opportunities for process improvement and automation
- Document solutions clearly and support selfservice analytics through training and knowledge transfer
Qualifications :
Technical Skills
- Advanced proficiency in Python for data analysis modeling and automation (e.g. pandas numpy scikitlearn)
- Experience with BI and lowcode analytics tools (e.g. Power BI Power Apps VS Code or similar)
- Strong foundation in statistics and applied AI/ML for business use cases
- Ability to work endtoend on complex datasets from exploration to model design and interpretation
Business & Communication Skills
- Solid understanding of finance and controlling processes KPIs and reporting requirements
- Strong ability to translate business needs into analytical solutions
- Clear communication with both technical and nontechnical stakeholders
- Strong problemsolving documentation and timemanagement skills
- Ability to work autonomously in a structured yet evolving environment
Education & Experience
- Bachelors or Masters degree in Business Analytics Finance Data Science Computer Science or a related field
- 25 years of experience as a Data Analyst preferably in a business controlling or finance context
- Professional working proficiency in English plus French and/or Dutch
Practical Information
- Location: Brussels area
- Work regime: Fulltime
- Onsite presence: 2 days per week by default
Additional Information :
For nonEU candidates
- Must hold a valid work permit for Belgium
- Must have a residence permit confirming right of residence
Remote Work :
No
Employment Type :
Full-time
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