- Company Name
- Sansaone
- Job Title
- Data Analyst
- Job Description
-
**Job title:**
Data Analyst – Business Controlling (Hybrid)
**Role Summary:**
Extract actionable insights from financial and operational data to support decision‑making, optimize performance, and drive digital transformation within business controlling. Build and maintain automated dashboards, advanced analytics, predictive models, and data pipelines using Python, Power BI, and low‑code tools, integrating AI/ML where applicable.
**Expectations:**
- Deliver high‑quality, data‑driven recommendations within a 9‑month contract.
- Collaborate with finance, IT, and data engineering teams to improve processes and automation.
- Communicate findings clearly to technical and non‑technical stakeholders.
- Maintain accurate documentation and provide self‑service analytics support.
**Key Responsibilities:**
- Collect, clean, and analyze financial and operational data (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).
- Integrate AI/ML capabilities into controlling and reporting processes.
- Design and maintain automated data pipelines (ETL, data transformation, quality checks).
- 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 and implement process improvements and automation.
**Required Skills:**
- Advanced Python (pandas, NumPy, scikit‑learn) for data analysis, modeling, and automation.
- Experience with BI and low‑code analytics tools (Power BI, Power Apps, VS Code).
- Strong statistical knowledge and AI/ML application in business use cases.
- Solid understanding of finance and controlling processes, KPIs, and reporting needs.
- Ability to translate business questions into analytical solutions and actionable insights.
- Clear communication and presentation skills for both technical and non‑technical audiences.
- Strong problem‑solving, documentation, and time‑management skills.
- Autonomy in handling complex, unstructured datasets from exploration to model design and business interpretation.
- Proficiency in English; knowledge of Dutch and/or French preferred.
**Required Education & Certifications:**
- Bachelor’s or Master’s degree in Business Analytics, Finance, Data Science, Computer Science, or a related field.
- 0–5 years of experience as a Data Analyst, preferably in a business controlling or finance environment.