You will use your knowledge of data, programming and statistics to collect and interpret large tables of data from different sources in order to anticipate business needs and make recommendations for best practice. Identifying relevant data sources in existing internal and external databases, Structuring and preparing data while ensuring its reliability and integrity. Carrying out advanced descriptive and predictive analyses such as description of customer journeys, segmentation of customers on the basis of historical and/or demographic data, predictive analysis of e-mail openings, etc. and prescriptive ROI using data processing and statistical languages such as SQL, R or Python. Providing and communicating clear and simplified analyses, transforming them into business recommendations. Co-ordinating integration, structuring, visualisation and data analysis activities