Data Analyst - AI/ML - Energy Sector - ASAP Start - Brussels - Freelance / CDI

We are looking for a Data Analyst to join a Business Controlling function within a large, complex organization operating in a regulated environment. In this role, you will transform financial and operational data into actionable insights that support decision‑making, performance optimization, and digital transformation initiatives.

You will leverage advanced analytics, Python, AI/ML techniques, and automation to improve forecasting accuracy, detect anomalies, and continuously innovate controlling and reporting processes. The role combines analytical depth, business understanding, and strong collaboration with finance, IT, and data teams.

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 ad‑hoc 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 machine‑learning 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 low‑code 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 self‑service analytics through training and knowledge transfer

Technical Skills

• Advanced proficiency in Python for data analysis, modeling, and automation (e.g. pandas, numpy, scikit‑learn)
• Experience with BI and low‑code 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 end‑to‑end 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 non‑technical stakeholders
• Strong problem‑solving, documentation, and time‑management skills
• Ability to work autonomously in a structured yet evolving environment

Education & Experience

• Bachelor’s or Master’s degree in Business Analytics, Finance, Data Science, Computer Science, or a related field
• 2–5 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: Full‑time
• Onsite presence: 2 days per week by default

For non‑EU candidates

• Must hold a valid work permit for Belgium
• Must have a residence permit confirming right of residence