Description

Hello everyone,

My name is Maxime Govart and I have been working for 3 years as a Data Analyst in the General Direction of Operations at L'Oréal. I graduated from an engineering school (ESTACA) and I have a master's degree in Supply Chain at Dauphine.

I contributed to the construction of different DataSet in the Google Cloud Platform to meet Business demands. I worked a lot to improve the quality of data. All this being done in SQL, I have over the past few years acquired a certain technical level in this language. I also have ecellent skills on Power BI. I train students from my old school in the 5th year on how to use this software.

Do not hesitate to contact me !

Langues

Français
Bilingue ou natif
Anglais
Capacité professionnelle complète

Préférences en matière de lieu de travail

En télétravail uniquement

Travaille majoritairement à distance

Andy Studio
Data & Analytics Lead
HIGH TECH
octobre 2024 - Aujourd'hui (1 an et 8 mois)
Londres, Royaume-Uni
Build & scale the marketing data platform in Big Query; integrate Ads (Google/Bing/Meta), Operations (Zendesk, Brevo,
Aircall), Tech (MongoDB), and Billing (DynamoDB) using mainly DBT, N8N & Dataform.
Lead two Data Engineers & 1 Power BI developper; deliver ready-to-use, normalized datasets and automated dashboards
for Acquisition, KPI tracking, Ops, and Tech performance.
Establish GDPR-compliant governance, integrity monitoring, and security protocols; enable self-serve analytics with strong
documentation and training.
Microsoft Power BI SQL Data Engineering Analyse de données Data visualisation
L'Oréal
Data Analyst / Engineer
LUXE
septembre 2020 - septembre 2024 (4 ans)
Paris, France
Product Management & Analytics (CDMO Europe)
Managed end-to-end product lifecycle for a Media & Influence analytics platform serving 700-1000 users across Europe.
Created a unified reporting tool combining online/offline media spend and performance analytics.
Built a CRM-driven influencer performance tracker, gaining 550+ active users per week.
Marketing Mix Modelling - BETiq (Budget: >£1M)
Accelerated data preparation and remodelling for offline and financial channels in collaboration with Europe's BetIQ DPOs.
Enhanced the delivery speed of strategic insights through efficient zone-level data management.
Search & E-commerce Analytics (Budget: ~£100k; Annual savings: £150-200k)
Delivered analytics solutions optimizing internal website search and Amazon media spend.
Significantly improved ROI by uncovering key budget efficiencies.
MARIO — Master Data Request & Incident Orchestra (Budget ≈€280k; estimated savings ≈€650k–€750k/month):
• deployed a global master-data platform adopted by 7+ departments, resolving 1,000+ incidents/month and reducing
resolution time by 40% via GenAI-assisted logging and routing.
Internal Product Search Engine
Developed an advanced internal search tool extracting 450+ product attributes across marketing, packaging, supply chain,
and sales. Became L’Oréal’s most-used analytical tool in 2023, serving 1,000+ active users via a Power BI interface and SQL
backend

SQL Data Engineering Power BI Analyse de données Data visualization