Denys S.

Lead end-to-end delivery of advanced analytics and data solutions for a major retail client (Leroy Merlin France). - Lead analytical frameworks to monitor business performance across marketing and commercial functions - Design and implement decision-oriented dashboards to track key KPIs - Analyze internal data to identify trends, growth opportunities, and optimization levers - Act as a bridge between business teams (marketing, performance, commercial) and data teams - Contribute to data quality, governance, and reliability initiatives - Support the development of a data-driven vision to enhance strategic decision-making

- Delivered courses on Marketing, Communications & Management applied to business decision-making (Upside-down marketing aimed at developing critical thinking) - Developed educational content focused on clarity, insight communication, and practical application - Use of case studies methodology, delivering courses to big audiences (>100 participants)

- Established and structured a strategic data & insights function - Implemented analytical tools to decode market dynamics, consumer behavior, and marketing performance - Developed econometric models (forecasting, MMM, MTA models) - Supported business teams in interpreting insights and driving decisions - Led and developed a data, media & research team

- Led a data-driven personalization product based on customer insights - Analyzed user behavior to optimize product offering and customer experience - Coordinated cross-functional teams (R&D, marketing, executive leadership) - Contributed to deeper understanding of customer needs and usage patterns

- Delivered analytical studies for key clients including Nestlé, L’Oréal, and Sanofi - Conducted market analysis and marketing performance assessments - Built forecasting and attribution models, CX Loop - Produced strategic recommendations for marketing leadership teams - Presented insights to senior decision-makers

- Data Product - first-ever successful data and econometrics project launched for Nestle setting up the foundations for further data sciences and marketing consultancy - Developing of in-depth data brand health studies and modeling of communications & business outcomes - Deliver predictive analytics use cases (sales forecasting, media mix modelling) - Build executive dashboards and analytics products for marketing and commercial performance - Provide technical leadership and mentoring to data team members