Summary
Overview
Work History
Education
Skills
Software
Interests
Timeline
Generic

Amandine Romeo

Data Process Optimization Lead
London

Summary

I'm dynamic and highly motivated, eager to dive into new challenges and always seeking for opportunities to learn new skills. With a deep passion for technology and innovation, I thrive in fast-paced environments and am always looking for ways to leverage cutting-edge tools and solutions. I bring a mix of creativity and analytical thinking, ready to contribute in a team-oriented setting while constantly seeking self-improvement. My curiosity and hunger for knowledge fuel my drive to stay ahead of the curve in a rapidly changing tech landscape. I’m excited for my next chapter where I can make an impact and grow alongside the company’s evolution.

Overview

3
3
years of professional experience
6
6
years of post-secondary education
4
4
Languages

Work History

Data Process Optimization Lead

CHANEL
11.2024 - Current
  • Leading the automation of cross-systems data flows, integrating corporate systems within our ESG reporting solution
  • Scoping and assessing data across business units and systems, identifying correct data sources and addressing gaps in existing system architectures
  • Implementing a Data Governance Framework to ensure compliance through the adoption of best practices
  • Promoting a data-driven culture, supporting change management initiatives and training teams on data use and interpretation

Source-to-Pay (S2P) Data Lead

CHANEL
11.2023 - 11.2024
  • Led data migration projects, ensuring smooth transitions with minimal disruption to business activities for integrating COUPA with global ERPs, ensuring seamless data extraction, migration, and validation
  • Developed a structured approach to scope and assess data quality, identifying gaps and improving data consistency across multiple systems
  • Built and implemented a Power BI dashboard to monitor data quality and trained data owners worldwide to interpret and leverage the insights effectively
  • Drove data governance initiatives, ensuring best practices were embedded across all project workstreams

Data Analyst Consultant

BearingPoint
08.2022 - 11.2023
  • Participated in the COUPA implementation project at CHANEL, focusing on the operational execution of data migration, data quality assessment, and dashboard development
  • Built Python scripts to manage datasets from multiple sources, analysis and assess data quality, perform cleansing activities and structured datasets for migration
  • Built a PowerBI dashboard to monitor data consistency and empower business users with data-driven insights
  • Led the migration process, creating Postman scripts to automate and streamline the transfer of data between ERPs and COUPA
  • Collaborated closely with both business and IT teams, gaining deep understanding of the system's technical and functional requirements

Education

Master of Science - Health Data Science

London School of Economics
London, United Kingdom
09.2021 - 07.2022

Master of Engineering - Biomedical Engineering, Neurotechnology

Imperial College London
London, United Kingdom
09.2020 - 09.2022

Bachelor of Engineering - Biomedical Engineering

City University of London
London
09.2017 - 09.2020

Skills

Friendly, positive attitude

Teamwork and collaboration

Team management

Problem-solving

Excellent communication

Data Management

Software

Microsoft

Python

Postman

PowerBI

Interests

Technology & AI

Tennis

Boxing

People

Timeline

Data Process Optimization Lead

CHANEL
11.2024 - Current

Source-to-Pay (S2P) Data Lead

CHANEL
11.2023 - 11.2024

Data Analyst Consultant

BearingPoint
08.2022 - 11.2023

Master of Science - Health Data Science

London School of Economics
09.2021 - 07.2022

Master of Engineering - Biomedical Engineering, Neurotechnology

Imperial College London
09.2020 - 09.2022

Bachelor of Engineering - Biomedical Engineering

City University of London
09.2017 - 09.2020
Amandine RomeoData Process Optimization Lead