- Bachelor's degree in a relevant quantitative field
- Azure Certifications
- Minimum 4 years experience in data analytics, or other : data science, data engineering, machine learning or BI development
- Minimum 2 years in a senior data analyst role
- Working knowledge and understanding of Python, DataBricks, Azure, SQL, PowerBI and GIS
- Working experience in a cross-section of the following technologies :
Programming: Python (Pandas, Matplotlib, Seaborn, Plotly, Jupyter Notebooks, GeoPandas),
Excel.
Cloud data: DataBricks (PySpark, SQL, NoSQL), PowerBI.
Geospatial: QGIS is advantageous.
Maths and Statistics: Statistical techniques and hypothesis testing.
Salary offer: Negotiable
