Description- Implement and maintain forecasting models to ensure accurate analysis.- Manage data to build insights and to support business decision making- Perform periodic web analysis to inform eChannel Strategy and targets settings- Maintain & adjust the forecasting based on actual results & key learnings throughout the year.- Provide ad-hoc analysis with insights and recommendations to improve our campaigns, animation, e-merchandising and online experience effectiveness to drive eCommerce business performance- Analyse & identify possible courses of action to maximize performance across the multiple online customer journeys.- Adopt prescriptive analysis models to support mid and long term business decision making.- Propose advanced KPIs to follow market's eCommerce channel and Digital activities.- Validate statistical relevance of local A/B hypotesis & tests.- Ensure that the relevant formulae are implemented based on historical data, seasonality & business variables.- Ensure the correct tracking of web pages, content and customer journeys.**Requirements**:- Hands on experience with a data analysis toolkit (Python, R), including data extraction/cleanup and data analysis- Experience leveraging data visualisation tools (PowerBi/Tabelau) to turn analysis into readily accessible insight to be reported in an easy way to understand by non data expert population- Proven experience to set and develop a data-driven mindset in a company, including experience in data driven continous improvement and A/B testing.- Proven ability to work with different sources of data (SQL, APIs, flat files, etc...)- Familiarity with web analytics tools (Adobe Analytics, Google Analytics Premium, other web analytics tool) is a must- Understanding of web architecture and technologies (HTML, JS) is an asset- Fluent in English mandatory2 years