Freelancer profile translated to English.
Back to original languageAbout Maxime
Looking for a Data Product Owner?
You've come to the right place.
🥇SuperMalter
⭐Rated 5/5 Malt
I have been a Data Analyst for 8 years and have worked in successful companies:
- GreenYellow
- GreenYellow Asia
- State Real Estate Management Agency (AGILE)
- MKG Consulting
I place great importance on transparency with my clients. I send a daily report at the end of the day on all tasks performed.
I can assist you with your projects:
𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 :
Orchestration, Deployment Pipeline, Data Engineering automation on Fabric
Microsoft Fabric Data Architectures (Lakehouse) to centralize and historize data
ETL Flows
Data integration via API
CI/CD
Power BI:
Dashboard on Power BI, facilitating decision-making with interactive visuals and real-time KPI monitoring.
Support and training for teams on using Power BI to ensure their autonomy and data literacy.
Automation of repetitive tasks (Excel/VBA):
Example Solutions:
- Mass document generation (Word, PDF) via Excel
- Mass email generation via Excel and Outlook
Development of custom tools to integrate and consolidate data from multiple sources (Excel, Power BI, SQL)
📩 Shall we discuss your project? Contact me, I respond in less than an hour.
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Product Owner, Product Manager, product owner, Fabric, fabric, data analyst, PowerBI, ExcelVBA, Data Specialist, Data Analyst, Senior Data Analyst, Business Data Analyst, data analyst, data analyst, data analyst power bi, data analyst python, data analyst tableau, data analyst marketing, data analyst sql, data analyst sas, data analyst bi, data analyst, senior data analyst, data analyst
French
Native or bilingual
Spanish
Fluent
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- GreenYellowData Analyst Power BI / Data Engineer Microsoft FabricENERGY AND UTILITIESSeptember 2017 - June 2026 (8 years and 9 months)Paris, FranceFounded in 2007, GreenYellow is an international leader in decentralized energy transition, with over €2 billion invested in photovoltaic solar solutions.🏢 Context:To support the company's growth and improve decision-making, I consult with various departments to gather and prioritize data & automation needs.🤛 Some achievements:- Orchestration, Deployment Pipeline, Data Engineering automation on Fabric- Data Architectures on Microsoft Fabric (Lakehouse) to centralize and historize data- ETL Flows- API- CI/CD• Power BI Sales: Improving sales efficiency• Power BI Commercial Marketing Europe• Power BI Large-scale project management for Photovoltaic power plants• Power BI Overdue Client Payments: Accelerating debt collection• Power BI Operations Energy Consumption Monitoring (Retail, Industry, Warehouses)• Power BI Acculturation/Training: Change management• Excel-VBA Tool - Data quality and format verification before Power BI import (Tool development and implementation of custom macros for each GreenYellow entity (Colombia, Brazil, Thailand, Australia))• Excel-VBA Tool - Automatic drafting/mail merging of HR letters with an Excel DB (Production of 400 personalized documents in 10 minutes with a macro)🎯 Results:• A global view of GreenYellow's activity through Power BI Dashboards• Accelerating the collection of the most significant overdue payments by sector (speeding up the recovery of millions of euros)• Project Management Dashboard for solarizing parking lots for major retail clients• Significant time savings on certain time-consuming tasksTechnical Context: Power BI Desktop, Power BI Services, Microsoft Fabric, Excel, VBA
- MKG ConsultingData Analyst Power BIHOSPITALITYJune 2024 - July 2025 (1 year and 1 month)Paris, FranceThis project was completed on a fixed-price basis in the evenings and on weekends.Founded in 1986, MKG Consulting assists major hotel groups like Accor in their development strategy.Deployment of Power BI to replace and improve existing client reports.🏢 Context:The company produces reports on hotel activity observations for its hotel clients. The reports are created from SQL queries and several Excel files.❌ Problems:• Reports take a long time to produce, averaging 4 hours.• Manually copying and pasting all tables and charts from Excel files into PowerPoint.• No documentation regarding report production.• Creation process leads to numerous errors.• Large file sizes (slow operation).• Unnecessary and inconsistent links between multiple files.🤛 Actions:• Inventory• Team meetings to clarify needs• MappingCreation of Power BI reports 📊:• SQL Queries• Data cleaning (M Language)• Star schema• Additional KPIs with DAX language• Impactful visuals• Report usage tutorial🎯 Results:• Monthly report production now takes 10 minutes instead of 4 hours.• Elegant reports that are easily updated and can be consulted online by the client at any time.• Reliability (no copy-paste errors, inattentiveness, mishandling, etc.).• Smaller file sizes (Power BI 6MB vs. several Excel files over 100MB).• Acculturation: Teams were not using Power BI and were reluctant to change the production method => Today, teams are autonomous and understand the value and power of Power BI for data reliability and the production of elegant, distributable reports.Technical Context: Power BI, Excel, VBA
- AGILE - Agence de Gestion de l'Immobilier de L'EtatData AnalystFebruary 2025 - February 2025Paris, FranceThe state's real estate portfolio represents 96 million m² and over 195,000 buildings, of very diverse nature and typology, distributed throughout the territory. AGILE's mission is to modernize, develop, manage, and enhance the state's property portfolio, applying its recognized expertise across all real estate professions.Development of an Excel VBA Tool to:• Retrieve Invoice, P10, DJU data via Power Query• Calculate IPMVP models (taking into account R² CV-RMSE, relative bias)• Choose from different possible models (classic DJU, Pivot DJU, Heating Period)• Visualize cumulative savings on a Dashboard
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Education
- IBM Analyzing Data with Python Microsoft Power BI CMVP The Complete Financial Analyst Course2025IBM Analyzing Data with Python Microsoft Power BI CMVP The Complete Financial Analyst Course
- Management TrainingFormation Management