Job Specifications
Data Analyst – Business Controlling Service
Location : Brussel, VLG
Contract Duration : 9 Months
Work Mode : Hybrid
Overview :
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, modeling, 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.
Education & Experience:
Bachelor’s or Master’s degree in Business Analytics, Finance, Data Science, Computer Science, or similar.
Previous experience (
About the Company
Welcome to Sansaone, a dynamic force in the realm of ICT talent acquisition. Born out of a passion for excellence and a vision for connecting outstanding professionals with forward-thinking organizations, we stand as a beacon for strategic recruitment solutions in the Information and Communication Technology sector. With a commitment to excellence and a passion for connecting exceptional professionals with innovative organizations, we are your strategic partner in building transformative teams.
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