Marie C.

Management and structuring of data from multiple systems (IT tools, project databases, reporting). Consolidation of data for a portfolio of 800+ projects, with analysis of discrepancies and inconsistencies. Data quality improvement: cleaning, standardization, and enhancement of information consistency. Analysis of data flows to identify inconsistencies and improve data quality. Definition and monitoring of data quality indicators (completeness, reliability, consistency). Contribution to the structuring and governance of project data. Development of Power BI dashboards for steering and data visualization. Interaction with business and IT teams to ensure alignment between needs and available data.

Structuring and harmonizing data from heterogeneous sources. Implementation of quality controls and data validation. Automation of data processing to improve reliability and availability. Data analysis to produce reliable indicators for decision-makers. Contribution to the organization and management of data assets.

Analysis and structuring of complex datasets. Data cleaning and transformation to improve usability. Collaboration with international teams on data-related issues. Production of actionable insights for decision-making.