Microsoft
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
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
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