Freelancer profile translated to English.
Back to original languageAbout Marie
Experienced professional with over twelve years in finance and management control, I have progressively expanded my expertise towards technical development, with a clear objective: to create automation solutions that transform how financial and operational processes are managed. My hybrid profile allows me to deeply understand business needs and translate them into powerful tools, whether developed in code, no-code, or through advanced ETL architectures.
I master a wide range of tools and languages – Python, SQL, Dataiku, Power BI, Power Query, Make – which enable me to design robust, connected, and scalable solutions. On assignments, I handle design, development, and technical integration, as well as coordination with business teams to ensure the adoption and effectiveness of the implemented tools.
During my last mission in banking, I developed and automated critical processes, including inquiry management, heterogeneous system connection, and real-time reporting. These achievements significantly reduced processing times and improved data reliability, while freeing up time for operational teams.
Today, I am preparing the next stage of my career: the development of my own automation software. My ambition is to design a solution capable of simplifying, securing, and accelerating financial and analytical flows, while adapting to complex environments. This project builds on my dual DNA – finance and technology – and my ability to combine business rigor, innovation, and product vision.
Website: corebisolution.fr
French
Native or bilingual
English
Conversational
Can work on-site
Paris (up to 50km), Toulouse (up to 50km), Montpellier (up to 50km), Nice (up to 50km)
Experience
- Core bi Solution MNGFinance & Automation ConsultantJuly 2025 - Today (1 year and 1 month)Paris, FranceConsulting and automation development mission within the banking operations department, focusing on data processing process reliability and optimization.• Analysis of existing processes related to inquiry management and identification of automation opportunities.• Design and implementation of automated workflows to centralize, process, and ensure the reliability of data flows from multiple internal and external systems.• Development of integrations and connections between ERP, databases, and internal tools using Python, SQL, and APIs.• Use of Dataiku for ETL, data transformation, and quality control before business use.• Creation of Power BI dashboards to provide real-time monitoring of processed volumes, deadlines, and key performance indicators.• Significant reduction in processing times and improvement in data traceability through the standardization and automation of flows.• Coordination with business and IT teams to validate developed solutions, train users, and document processes.
- EdeisFinance & Automation ConsultantAVIATION AND AEROSPACEJune 2025 - June 2025Consulting mission within the accounting and management control teams, with a dual objective: ensuring the reliability of financial data and automating reporting and budget monitoring processes.Analysis of existing financial processes and identification of optimization opportunities to reduce production times and improve data quality. Implementation of automated workflows for integrating, cleaning, and transforming data from SAP FI/CO, ensuring the consistency and traceability of information used for financial steering.Development and industrialization of interactive dashboards in Power BI for budget monitoring, variance analysis, and key performance indicator management. Use of Power Query and SQL to automate extractions and prepare data reliably and repeatably.Support for teams in upskilling on deployed tools, writing operational procedures, and coordinating with the IT department to ensure the sustainability of solutions. Also contributed to cross-functional projects involving HR data monitoring and multi-source consolidation.
- mnlgadvasoryConsultantCONSULTING AND AUDITSOctober 2019 - Today (6 years and 9 months)Design of POWER BI DashboardsAutomate and ensure data reliabilityImplement data modelsSet up automated reportingOptimize query performanceTransition managementFinance project managementRequirements gatheringIFRS 15 and 16 StandardsWriting functional specificationsRisk identificationMeeting facilitationProcess writingDirect relationship with IT and CIO departmentsDirect relationship with the ERP integratorWriting acceptance test plans / RIDAGeneral and Analytical Accounting, ConsolidationRisk identificationWriting Operational ProceduresDevelop and implement detailed project plansProcess writingDirect relationship with suppliersAgile Methodologies: Scrum
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Education
- MBA in Audit and Management ControlComptalia1. La fiabilisation de l'organisation par une démarche de contrôle et d'audit Auditer les activités comptables et financières d'une organisation Manager et Auditer les SI Maîtriser la comptabilité d'entreprise Comprendre la fiscalité d'entreprise Connaître les normes comptables internationales Analyser la situation financière d'une organisation Mesurer et communiquer la performance de l'entreprise par les tableaux de bord Communiquer la performance financière auprès des parties prenantes 2. L'optimisation du processus budgétaire par le contrôle des coûts et le calcul des marges Modéliser la structure de revenus et la structure de coûts de l'entreprise Bâtir un prévisionnel solide Piloter la performance et réconcilier prévisionnel et réalisé 3. Le pilotage des audits de performance Gérer un projet d'audit interne Identifier et cartographier les risques Manager et organiser un département d'audit interne 4. L'élaboration de recommandations stratégiques Comprendre la stratégie d'entreprise et les business model Identifier des recommandations stratégiques Mettre en oeuvre et piloter les recommandations stratégiques
- Data ScientistOpenclassroom2024Réalisez des analyses de données et des prédictions métiers poussées grâce à la data science Les entreprises produisent une quantité astronomique de données. Être capable de les analyser et de les valoriser représente un enjeu crucial et un avantage compétitif indéniable. En tant que data scientist, votre rôle sera de traduire un besoin métier en une problématique de data science, puis de la résoudre grâce à vos algorithmes. Vous réaliserez par exemple des moteurs de recommandations, des prédictions pour améliorer les ventes de votre entreprise ou encore des intelligences artificielles pour des applications mobiles. Au contact avec des équipes métiers, vous mènerez à bien un projet data, de la collecte des données à la mise en production de vos algorithmes. En tant que data scientist, quelles sont vos missions ? Collecter et préparer les données avec Python en vue de l’analyse. Explorer et analyser les données pour comprendre les tendances et les performances d'une entreprise ou d'un produit. Élaborer des modèles prédictifs pour identifier les nouvelles tendances et opportunités. Déployer des modèles de données (sur le cloud) pour automatiser les processus d'entreprise et améliorer leur efficacité. Communiquer les résultats à des spécialistes ou des néophytes grâce à des visualisations. Participer à l'organisation et au pilotage d'un projet de data science / IA.