Anne-Gaelle Songeons

Collect, clean, and analyse retail data to generate customer insights and identify actionable opportunities (Python, SQL) Configure the analytics platform according to business needs and ensure data accuracy (SQL) Develop predictive models to optimise store performance and support strategic decision-making Provide daily support and training to clients, answer data-related requests, and ensure smooth platform usage Create reports and presentations to communicate key insights and recommendations to stakeholders

•Led the development of data analysis tools in Python (NLP, Machine Learning) to automate processes, resulting in a significant reduction in processing time •Reported on key performance indicators and optimized the reporting process by 40% (Tibco, Python) •Conducted ad hoc data analysis and provided tailored optimization recommendations to clients •Created reports and presentations for senior management and non-technical audiences (+30 stakeholders) •Streamlined data collection from business and technical teams by defining clear processes and workflows, resulting in a 20% improvement in data quality •Cleaned and prepared databases for analysis

•Analyzed user experience data to identify trends and insights (Python, Excel) •Contributed to user testing and survey initiatives to gather product-related data •Assisted in creating comprehensive reports and presentations based on user insights for senior management (PowerPoint) •Developed interactive dashboards (Power BI) •Collaborated with teams to define user journeys and develop key marketing messages to promote their digital products •Built web apps using Agile methodologies (Python, SQL, Github, Azure DevOps)