Freelancer profile translated to English.
Back to original languageAbout Lucas
Not just Data, I tell the story of your customers!
With over 6 years of experience in customer strategy, business intelligence, CRM analytics, and customer insights for leading international brands, I help my clients make faster, more relevant, and customer-centric decisions.
My goal: build customer-growth strategies by revealing the customer insights that matter.
🏢 They trusted me:
Nike & SNKRS App - Louis Vuitton - Decathlon Digital - Sweaty Betty (Wolwerine Group)
🚀 Why me?
I don't just create dashboards or conduct one-off analyses.
I build understanding!
I bridge the gap between data and business to build coherent customer strategies, enabling teams to activate these customer insights at scale.
🦄 What sets me apart:
With a hybrid profile combining technical, marketing, and product skills, I understand both business challenges and technical constraints, allowing me to act as a strategic yet hands-on partner.
A 360 profile, I have a unique ability to translate data into business language and concrete actions for my clients.
🎯 My expertise:
- Know your customers (customer insight, segmentation, LTV)
- Performance Analysis (A/B tests set-up & performance, omnichannel analyses)
- Customer Lifecycle Management (CLV analysis, loyalty strategies, lifecycle marketing)
- Product Optimization (recommendation algorithms, product assortment analysis)
- Business Intelligence (Membership strategies, customer frameworks, segmentation...)
đź’ˇ My toolkit:
Analysis: SQL (Snowflake, Databricks), R, Excel
Visualization: Tableau, Power BI
Web Analytics: Adobe Analytics
CRM: SFMC, Easyence, CDP
Storytelling: PowerPoint.
🌍 100% remote | Bilingual FR & EN
🎯 Interested? Let's discuss:
👉 Calendly.com/lucasbonnett/30min
French
Native or bilingual
English
Native or bilingual
Portuguese
Basic
Spanish
Basic
Remote only
Primarily works remotely
Experience
- Sweaty Betty (Wolverine Worldwide company)Freelance - Customer Strategy & AnalyticsApril 2026 - Today (2 months)Londres, United KingdomWomen's sportswear/yoga brand (UK, US, IE) | Annual Revenue ~£100–150M | Parent Company: Wolwerine Worldwide (Merrel, Saucony...)Mission:Support the analytics team on a daily basis and develop new weekly/quarterly/yearly reporting based on data & action-driven insights.1. Consumer & Conversion - Weekly Trade:2. Mobile App Strategy & Analytics:3. Customer Analysis & CRM Strategy:4. Performance Marketing:👥 Present customer insights to Senior Leadership, CRM, E-commerce & Analytics teams.Support on other ad hoc topics:→🔧 Tools used:Synapse (SQL), PowerBi, Excel, Power-Point
- Sweaty Betty (Wolverine Worldwide company)Freelance - Customer Insights & AnalyticsSPORTSMay 2025 - August 2025 (3 months)Londres, United KingdomWomen's sportswear/yoga brand (UK, US, IE) | Annual Revenue ~£100–150M | Parent Company: Wolwerine Worldwide (Merrel, Saucony...)Mission:Build a data & customer insights-based customer-growth strategy.1. Business Intelligence: Conduct a comprehensive diagnosis of the customer base (Size, value, churn rate, purchase behavior, recurrence, waterfall charts...)2. Development of strategic frameworks: lifecycle marketing, segmentation by frequency, migration matrix, and business opportunities.3. Creation of a tool to forecast the number of customers needed to achieve revenue targets (segmentation by customer cohorts, AOV, frequency).4. Evaluation of CRM analytics levers (opt-in strategy, customer knowledge, personalization) and recommendations.👥 Present customer insights to Executive, CRM, and Analytics teams.Support on other ad hoc topics:→ Evolution of top customers & churn risk→ Correlation between inter-purchase time & LTV→ Quality of customer acquisition strategies (CAC/LTV ratio)🔧 Tools used:Snowflake (SQL), Excel, Power-Point
- Decathlon DigitalProduct Manager - Data & Customer IntelligenceSPORTSSeptember 2022 - September 2024 (2 years)Lille, FranceMission:Integrate and transform data & customer insights (CRM, transactions, web/app, demographics) into data products for CRM, marketing, e-commerce, and product teams.I led the design and deployment of strategic data products enabling the implementation of CRM personalization strategies for Decathlon customers in over 70 countries.The data products (algorithms) were primarily focused on segmentation, predictive modeling, and behavioral scoring, to industrialize marketing personalization globally.Data Products:- Global CRM Segmentation 70+ countries (historical & predictive via CLV model) - BUILD & RUN- Sport detection algorithm (personalized recommendations) - RUN- Customer Affinity Model Scoring (CRM & marketing) - BUILD & RUN🔧 Tools used:Jira, Databricks (SQL, Python), Excel, Power-point, Salesforce Audience Builder, SFMC🎯Use-case example:Translating a strategic segmentation from an external consumer market insight study into an actionable CRM model at scale for the teams.📌My role:I led a project with my Tech team to predict segment membership (from a sports attitudes study), using CRM, transactional, app usage, and demographic data.➡️Result:prediction for over 60% of active customers in 70+ countries, integrated into CRM campaigns, a true bridge between strategy and field activation.
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Education
- Master of Science - Big Data Analytics for BusinessIÉSEG School of Management2020Master of Science - MSC in Big Data Analytics for Business
- Master of Science in Management - Marketing MajorIÉSEG School of Management2019Master in Management, Marketing
Certifications
- Product Management Training - AdvancedThiga Academy2022
- Career Essentials in Data AnalysisMicrosoft & Linkedin2025