Data Analyst

Job Title: Data Analyst – Business Controlling Service

Contract Duration: 20/04/2026 - 31/12/2026

Work Location: 1000 Brussels, Belgium

Languages Required: Dutch, French &English

Remote Status: Hybrid

Work Regime: Full Time

Job Description - Roles and Responsibilities

Service description:

As a Data Analyst in Business Controlling, you extract actionable insights from financial and operational data to support decision‑making, optimize performance, and drive digital transformation. You leverage advanced analytics, Python, AI/ML, and automation to analyze large datasets, improve forecast reliability and anomaly detection, while continuously experimenting, testing hypotheses, and refining analytical models to innovate the controlling function.

Main Responsibilities:

• Collect, clean, and analyze financial and operational data from multiple internal sources (ERP, SAP, reporting systems, Excel).
• Develop automated dashboards, visualizations, and advanced analytics using Power BI, Python, VS code, and low‑code tools.
• Build and maintain predictive and analytical models (forecasting, anomaly detection, scenario analysis) to support budgeting, forecasting, and investment decisions.
• Integrate AI and machine‑learning capabilities into controlling and reporting processes, in collaboration with business and IT teams.
• Design and maintain automated data pipelines in Python (data transformation, ETL, data quality checks) to reduce manual effort.
• Deliver ad‑hoc analyses and business cases, translating results into clear insights and recommendations.
• Document solutions and support self‑service analytics through training and knowledge sharing.
• Collaborate with finance, IT, and data engineering to identify opportunities for process improvement and automation.

Requirements:

• Advanced Python proficiency for data analysis, modelling, and automation (pandas, NumPy, scikit‑learn).
• Experience with BI and low‑code analytics tools (Power BI, Power Apps, VS Code or similar).
• Strong knowledge of statistics and AI/ML techniques applied to business use cases (highly valued).
• Solid understanding of finance and controlling processes, KPIs, and reporting needs.
• Ability to translate business questions into analytical solutions and actionable insights.
• Clear communication skills with both technical and non‑technical stakeholders.
• Strong problem‑solving, documentation, and time‑management skills.
• Ability to work autonomously on complex, unstructured datasets, from data exploration to model design and business interpretation.