Antoine Borin

Reporting to the Chief Data Officer – Managed a team of 8 Data Engineers and BI Analysts, responsible for Data across 5 European countries (~€3B revenue). – Oversaw data collection & storage, and delivered Power BI dashboards and self-service analytics for Marketing, Finance, Sales, and other business teams. – Implemented Agile rituals and redefined roles & responsibilities → +50% increase in delivery output. – Delivered major projects including: migration from local Data Warehouses to the Global Azure Data Platform, rationalization of Power BI dashboards, and design of a unified data model to accelerate large-scale report deployment.

– Coaching 5 analysts on carrying out ad-hoc analyses + Python & AB test training – AB tests: definition of decision KPIs, experiment design, and performance analysis → +1% increase in conversion from payment page to confirmed purchase – Ad-hoc analyses: e-wallet performance / Bundle purchase new feature performance – Development of partnership with Product teams & alignment on priorities

– Ensuring continuity in reporting delivery & enhancement – Ad-hoc analysis such as new services implementation A/B test, new product launch performance – Improved sales forecasting accuracy through methodological enhancements → +5% accuracy – Consulting in Data Organizations Strategy

Analysts Management - coaching of multiple analysts, helping them developing their technical and communication skills while ensuring to focus on priorities. Modelling – Development of an AI-driven customer attrition model for the SME segment--> -3% churn (SME segment) – client segmentation modelling to help the Pricing team better understand personas based on behavior driving revenues and build a new offer accordingly Data Product Management – Lead the development of a widely adopted Tableau dashboard for WW Customer Success teams to assess consistently clients and teams' performances. My role included project team creation and animation, requirements definition, partnering with a data engineer for the front-end development. The project led to significant productivity gains (est. ~$300k per year) and the first data governed metrics in the company – Lead the data infrastructure building to feed the tool used for paying out the Customer Success teams, partnering with the Head of Compensation and the data engineering team – Lead the prioritization of the Analytics & Data Science teams' data needs, while modernizing the existing process from Excel to JIRA, setting-up prioritization meetings, sprint planning review partnering with data engineering teams Reporting development – Tableau dashboard for the Finance team to replace Excel-based legacy process to assess impacts of economics changes on the P&L --> 3 men month saved per year Ad-hoc analysis - A/B test for new pricing models performance assessment, estimate savings for our prospects by signing with us using advanced statistical techniques

Reporting to the Head of Commercial Operations Financial modelling to estimate budget needed for lead generation to achieve Sales targets for the Head of Marketing Build a Quarterly Business Review in PowerPoint shared with WW MDs and presented in local forums Project Manager and Analytics lead for the design and implementation of a new commercial offer worldwide generating multiple millions of revenues / year Ad-hoc analysis - new Air Exchange feature impacts on our P&L and restitution to commercial LT

Define the pricing strategy for the fast-food industry using SQL for data extraction, in-house statistical models to assess customers' pricing sensitivity while respecting margin constraints from the client. Presentation of the proposals to clients' LT Participation to the creation of a pricing tool for a leader in the retail industry, from requirements collection to indicators definition and UAT, partnering with a team of developers for the back-end and front-end solution Development of multiple automatized reports in Excel to assess Sales & Pricing performances for our clients

– Partnering with Consultants to define the pricing Strategy for our clients and provide recommendations to improve Gross Margin with limited impact on the traffic – Production of Ad-Hoc analysis on products performance for Large national accounts – Improve data quality by identiying issues and offering solutions to solve for it – Respond to ad-hoc analysis request coming from the client with limited supervision

– Business analysis for the Beauty industry (Chanel, Dior, Printemps) – Development of automatized report of the sales performances – Client management: answer to data requests

– Monitoring and development of energetics indicators – Consolidation of environmental and social data for Clarins Group's subsidiaries