ASAbout Arthur
Remote data consultant helping teams achieve business impact with robust governance and BI solutions. From data strategy and architecture to Power BI dashboards, I design and implement clean data models, reliable pipelines, and clear visual reports. My focus is on accuracy, scalability, and practical results so teams can trust their data and make decisions quickly, without unnecessary complexity.
French
Native or bilingual
English
Fluent
Chinese
Conversational
Remote only
Primarily works remotely
Experience
- Deloitte – Engineering, Data & AI dept.SENIOR CONSULTANTCONSULTING AND AUDITSNovember 2022 - May 2025 (2 years and 6 months)Paris, FranceData Strategy and Governance Framework in the Automotive Industry to enhance data-driven decision-making and operational efficiency.
- Defined high-level organizational goals and objectives for leveraging data, resulting in the classification and prioritization of data assets and the identification of high-impact use cases aligned with business objectives. This initiative created a long-term vision for maximizing data value across the organization.
- Designed and implemented operational governance models that included policies, standards, and processes, ensuring consistent and effective data management.
- Provided actionable guidelines to enhance data quality, security, privacy, and compliance.
Data & Information System Architectures in the Automotive Industry.- Designed conceptual and logical data models at both enterprise and project levels for key company functions, including product engineering, process engineering, manufacturing, after-sales, procurement, and finance. This foundational work improved information clarity and projects effectiveness across departments.
- Conducted functional architecture studies, recommended architecture patterns and provided support in the implementation of a data mesh and data product approach considering both technical and organizational constraints.
Deloitte Consulting internal initiatives: Business Development, Community Building, Mentoring.- Supported business development by identifying commercial opportunities, participating in the end-to-end RFP process (initiating, structuring and coordinating progress) and contributing to proposal building (context, methodology, timelines, pricing).
- Led the Data Strategy community within Data & AI teams, driving value stream structuring, offer development, internal communication, and community engagement.
- Mentored junior consultants by providing team support through skill development, conflict resolution, and daily guidance on projects and internal matters.
- ENI-Saipem – Project control & Financial dept.DATA MANAGEMENT ENGINEERENERGY AND UTILITIESJuly 2020 - October 2022 (2 years and 3 months)Paris, FranceReporting and Data Analytics for the CFO and Project Control / Financial Department, enhancing decision-making and operational efficiency.
- Defined and established data governance best practices, ensuring data integrity and compliance.
- Implemented ETL processes and workflows to facilitate data access, sharing, and utilization, reducing data retrieval and reporting time from two weeks to less than one day.
- Developed dynamic Power BI reports integrated with SharePoint, Oracle Cloud, and SQL Server, providing up-to-date insights that improved reporting efficiency.
- Created an Oracle APEX application for monthly cash flow input, used by project controllers and business unit managers, featuring access management and a validation workflow to enhance data accuracy and accountability.
- SaegusJUNIOR CONSULTANTCONSULTING AND AUDITSAugust 2018 - August 2019 (1 year)Paris, FranceData dept.Data Quality Management (DQM) and Master Data Management (MDM) solutions study for an international aerospace company.
- Led benchmarking, workshops, and analyses, delivering actionable insights to stakeholders, resulting in the selection of the optimal solution for the client.
Human Resource Information System (HRIS) redesign for a leading insurance company.- Conducted 17 workshops and interviews with key 42 stakeholders (including 6 directors).
- Mapped existing functional and data architectures, identifying pain points and business needs.
- Contributed to strategic planning and developed a comprehensive roadmap.
Natural Language Processing (NLP) solution study for an international pharmaceutical company.- Tested and assessed multiple approaches, delivering insights for optimal implementation.
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Education
- Master in Data sciences & business analyticsESSEC x CentraleSupélec2020• Ranking: #3 Best Master in Business Analytics Worldwide QS ranking 2025; #1 Europe • Major in Data Sciences: Machine Learning; Big data, Algorithms Techniques and Platforms; Optimization; Deep Learning; NLP; Network Science; etc. • Major in Business Analytics: Big Data Analytics; Forecasting; Marketing Analytics; Business Intelligence; Trading, Digital Transformations of Markets and Fintech; etc. • Corporate Research Project: Implementation of a U-Net architecture in TensorFlow and obtaining results of semantic segmentation on bio medical images. • Relevant Study Projects: Fake news detection; Network connection predictive analysis; Recommendation system; Growth rate forecast; Multimodal classification; etc
- Double Bachelor in Business & AdministarationUniversity of International Business & Economics (UIBE) x NEOMA (Cesem)2018Franco-Chinese track
Certifications
- Certified Deloitte ArchitectDeloitte2025