Freelancer profile translated to English.

Description

With over 10 years of experience in Data, I design and deploy end-to-end analytical solutions, transforming raw data into concrete steering tools for business teams and decision-makers.

My areas of intervention:

➜ Transforming data into business value: data modeling, flux reliability, KPI definition, and creation of decision-making dashboards for activity monitoring.

➜ Collaboration with business teams: requirements gathering, structuring key indicators, and writing functional and technical specifications to translate business challenges into concrete data solutions.

➜ Design and industrialization of data solutions: development of reliable and high-performing pipelines, data models, and reporting, directly used for operational monitoring and decision-making.

➜ Data governance: repository structuring, business rule definition, and implementation of practices ensuring data quality, consistency, and traceability.

➜ Delivery and development best practices: experience in Agile, SAFe, and V-cycle environments, with integration of CI/CD, quality, and data solution industrialization practices.

➜ Work in demanding environments: ability to work independently, in small teams, or within larger organizations, facilitating collaboration between technical and business teams.

➜ Team support: sharing data best practices, structuring work methods, and highlighting individual contributions to strengthen collective impact.

Availability: Immediate.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km), Lille (up to 50km), Lyon (up to 50km), Toulouse (up to 50km), Montpellier (up to 50km)

Crédit agricole SA
Data Analytics & Engineering Lead / Head of SI & Cybersecurity Dashboards
BANKING AND INSURANCE
January 2025 - January 2026 (1 year)
Paris, France
• Gathering and formalizing business requirements in close collaboration with business teams, designing, and developing group-wide Cybersecurity and SI decision-making Power BI dashboards.

• Designing high-performance data models (star schema) and transforming data using SQL and Python to ensure reliability and usability.

• Developing fast, intuitive, and user-oriented Power BI dashboards with quick navigation and efficient filter management.

• Continuous improvement of reporting ergonomics and structure (UI/UX, graphic charter) to facilitate their evolution while respecting business needs.

• Analytical and technical referent: mentoring, dissemination of best practices in modeling and data quality.
BNPP
Data Analyst / Analytics Engineer
July 2022 - December 2024 (2 years and 5 months)
Paris, France
• Designing strategic analytical reporting and dashboards for the Group Legal department using Tableau to facilitate activity steering and key indicator monitoring.

• Designing high-performance semantic models: star schema modeling (fact and dimension tables) to organize relationships between tables and integrate data in a readable and optimized way into reports.

• Advanced use of Alteryx: designing high-performance workflows, integrating and joining multi-source data, developing reusable macros, and automating processes via task scheduling.

• Leveraging the AWS ecosystem to industrialize the ingestion and processing of data from heterogeneous sources (on-premise, PostgreSQL databases), implementing robust and scalable pipelines.

• Manipulating and transforming large volumes of data within analytical environments on Teradata and Snowflake.

• Preparing optimized datasets to address RLS, historization, and performance challenges.

• Implementing versioning best practices with GitLab (version management, collaboration, and tracking of data pipeline evolutions).
Arquus Defense
Data Analyst / Analytics Engineer
DEFENSE AND MILITARY
January 2021 - June 2022 (1 year and 5 months)
Paris, France
• Supply Chain and inventory management reporting with Power BI.

• Modeling and transforming data pipelines in a Cloud environment based on Google Cloud Platform, with structuring and industrialization of analytical transformations via DBT.

• Migration of reports from Tableau to Power BI:

➜ Reverse engineering of existing Tableau dashboards and adapting calculation logic to Power BI (rebuilding KPIs, translating Tableau formulas to DAX, optimizing data models)

➜ User training and acculturation: presentation of new Power BI dashboards and key differences with Tableau (navigation, filters, KPI logic)

➜ Operational support: assisting users, answering questions, and correcting misunderstandings during initial usage.

• Designing interactive analytical applications with Streamlit to leverage AI model results and develop data application tools for business users.