Freelancer profile translated to English.
Back to original languageAbout Rayane
Hello! My name is Rayane, and I am an expert in data analysis in Power BI. With several years of experience as a data analyst and Power BI consultant, I am here to help you unlock the full potential of your data and make informed decisions.
⭐ Here are some of the projects I can help with:
👉Interactive Dashboards: I can design interactive and customized dashboards to help you visualize your data clearly and intuitively. Whether it's tracking sales performance, analyzing trends, or monitoring key indicators, I'm here to help you create impactful visualizations.
👉Advanced Data Analysis: I have extensive experience in exploring and analyzing complex data. I can help you uncover hidden insights, identify patterns, and perform in-depth statistical analysis to make informed decisions.
👉Data Source Integration: If you have data from different sources, I can help you integrate them into Power BI to get a consolidated and consistent view. I can work with a variety of data formats such as CSV, Excel, SQL, etc.
👉Report Automation: With my Power BI skills, I can automate the generation of periodic reports. This allows you to save time and have up-to-date reports in real-time for better decision-making.
👨💻Other Skills:
👉Databases:
- SQL Databases
- NoSQL Databases
👉 Data Visualization, BI, Reporting & Dashboarding
- Power BI
- Tableau
- Google Looker Studio
Feel free to contact me to discuss your data analysis and Power BI needs. I look forward to working with you to transform your data into valuable insights.
French
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- Safran Aircraft EnginesData Analyst Power BIAVIATION AND AEROSPACEJuly 2023 - Today (2 years and 11 months)Corbeil-Essonnes, FranceImplementation of an HR tracking tool for the CEI rotating parts engineering department, allowing for efficient monitoring of allocations and budget.Development of a comprehensive Power BI tool for tracking the processing of exceptions, including resolving data inconsistencies.Data cleaning using Python code integrated directly into Power Query, improving data quality and analysis accuracy.Creation of custom Power BI tools in response to specific requests from the engineering department members, thereby enhancing their productivity.
- AccentureData AnalystE-COMMERCEMay 2022 - August 2022 (3 months)Paris, FranceAs a Data Analyst for Accenture, I was responsible for meeting the needs of the executives of an online sales platform in Brazil. During this assignment, my activities included:🎯 Needs Analysis: I began by understanding the business objectives and the specific problems the platform was facing. I collaborated with executives to clarify their expectations and define relevant Key Performance Indicators (KPIs).👨💻 Data Collection and Cleaning: I identified the various data sources needed for analysis, such as sales data, customer data, and marketing data. I implemented processes to collect and integrate this data, ensuring its quality and consistency.⭐ Data Modeling: I created a data model tailored to the company's needs, organizing tables and relationships to enable in-depth analysis. I used tools like Power Query to transform and structure the data, making it actionable.📈 Creation of Interactive Dashboards: Using Power BI, I designed interactive and visually appealing dashboards to present key information to executives. I used visualizations such as charts, pivot tables, and maps to facilitate data understanding.📊 Data Analysis and Visualization: I performed in-depth analyses using Power BI's advanced features, such as calculated measures, dynamic filters, and slicers. I highlighted trends, patterns, and areas for improvement to support strategic decision-making.💻 Report Automation: To optimize efficiency, I automated the generation of regular reports using features like scheduled refreshes and conditional alerts. This allowed executives to quickly access essential information without having to perform repetitive tasks manually.Through these activities, I was able to provide the executives of the Brazilian online sales platform with interactive dashboards and in-depth analyses, enabling them to make informed decisions and monitor their business performance in real-time.
- Trésorerie Générale du RoyaumeData AnalystPUBLIC SECTORNovember 2021 - April 2022 (5 months)Rabat, MoroccoAs a data analyst, during my assignment at the General Treasury of the Kingdom, I conducted an in-depth analysis of the organization's payment orders. My main activities included:🔍 Data Collection and Preparation: I extracted data from payment systems, cleaned it, and prepared it for analysis. This involved checking data quality, harmonizing it, and structuring it appropriately.📊 Trend Analysis: I used Power BI to create interactive dashboards and impactful visualizations. I identified key trends regarding payment amounts, expense categories, most frequent suppliers, etc.⭐ Anomaly Detection: I implemented indicators and alerts to detect unusual payments or potentially fraudulent transactions. This helped improve risk detection and strengthen internal controls.📈 Comparative Analysis: I compared current payment data with data from previous periods to identify significant discrepancies. This helped spot abnormal variations and take corrective actions if necessary.👨💻 Reports and Recommendations: I produced regular reports for the management of the General Treasury of the Kingdom, highlighting the main findings and recommendations from the analysis of payment orders. I also presented my results during meetings with the management team.Overall, my work provided a better understanding of financial flows, identified potential risks, and optimized payment processes within the General Treasury of the Kingdom. I contributed to strengthening financial transparency and making informed decisions for the optimization of the organization's resources.
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Education
- Bachelor in Computer ScienceEFREI Paris2021✅ Fondamentaux de l'informatique : Algorithmique et structures de données Programmation en langages courants tels que C++, Java, Python Mathématiques discrètes Logique et preuves formelles Architecture des ordinateurs Bases de données ✅ Développement de logiciels : Conception logicielle Développement web (HTML, CSS, JavaScript, frameworks) Développement d'applications mobiles Génie logiciel et méthodologies de développement Test et validation de logiciels Gestion de versions et collaboration avec des équipes ✅ Systèmes informatiques : Systèmes d'exploitation Réseaux informatiques Sécurité informatique Virtualisation et cloud computing Administration système ✅ Intelligence artificielle et Data Science : Apprentissage automatique (machine learning) Analyse de données Big Data Traitement du langage naturel Vision par ordinateur
- Engineering Degree in Business Intelligence & Data Analytics (Master 2)EFREI Paris2023✅ Fondamentaux de la Business Intelligence : Introduction à la Business Intelligence et ses concepts clés. Gestion des données et des entrepôts de données. Méthodes et outils de collecte, d'analyse et de visualisation des données. ✅ Analyse des données : Méthodes statistiques et exploratoires pour l'analyse des données. Techniques de data mining et d'apprentissage automatique (machine learning). Utilisation de langages et de logiciels spécifiques pour l'analyse de données. ✅ Big Data : Gestion et analyse de données massives (Big Data). Architectures de stockage et de traitement des Big Data. Outils et technologies pour l'analyse de Big Data. ✅ Visualisation des données : Techniques de visualisation des données pour la communication des résultats. Outils de visualisation de données et de création de tableaux de bord interactifs. Conception d'interfaces utilisateur pour la présentation efficace des données. ✅ Data Warehouse et Business Analytics : Modélisation et conception de Data Warehouse. Extraction, transformation et chargement des données (ETL). Utilisation de Business Analytics pour la prise de décision. ✅ Gestion de projet en Business Intelligence et Data Analytics : Méthodologies de gestion de projet adaptées à la Business Intelligence. Planification, suivi et évaluation de projets en Business Intelligence. Gestion des risques et des ressources dans le contexte de la Business Intelligence. ✅ Applications sectorielles : Utilisation de la Business Intelligence et de l'analyse des données dans des domaines spécifiques tels que le marketing, la finance, la logistique, etc.
Certifications
- Microsoft Certified: Power BI Data Analyst AssociateMicrosoft2023