About Yasmina
- Structure and validate your data (scalable model, automation)
- Highlight actionable insights through clear and impactful dashboards
- Train your teams to make them autonomous (SQL, data literacy, GA4)
- BigQuery, SQL, Python
- Power BI, Looker Studio, Data Studio
- GA4, Data marketing, e-commerce, event tracking
- APIs, automatic ingestion to BigQuery
- Cloud Functions / Cloud Run for automatic processing of GCS events, pipeline automation
- GA4 Data Architecture → BigQuery (avoid sampling, sustainable structure)
- Anomaly detection in SnowFlake
- Dashboard organization for business users (clarity, performance, UX)
French
Native or bilingual
Arabic
Conversational
English
Fluent
Experience
- CHANELAnalytics EngineerJanuary 2024 - November 2025 (1 year and 10 months)Paris, France
- Creation of Power BI dashboards for various departments (traffic, campaign performance, social media, navigation, content)
- Construction of a GA4 data model in BigQuery: scalable, documented, and adapted to analysis needs
- Development of automated data pipelines (GCS → BigQuery) for media and social data (Emplifi API → BigQuery)
- Performing ad hoc analyses to inform strategic or operational decisions
- Optimization of BigQuery costs (queries, storage, architecture)
- Upskilling teams through internal SQL and data training
- Tools: Power BI, Google Analytics 4, GCP, Looker Studio
- ElevateData & Tech ConsultantJune 2022 - Today (4 years)Paris, FranceData analyst consultant at Elevate, I work with major companies (Chanel, L’Oréal, Chronodrive, Withings, etc.) to help them better leverage their data through the creation of robust data models, analytical dashboards, and business-oriented ad hoc analyses.Main missions:Construction of data models in BigQuery, cost optimization, and pipeline documentation.Development of Power BI dashboards (sales performance, CRM, web analytics, social & media).Automation of data flows via Google Cloud Platform or APIs (GA4, Emplifi, Matomo...).Occasional analyses on e-commerce, acquisition, conversion, or audience performance (B2B/B2C).Improvement of data quality (audit, scoring, anomaly detection, monitoring dashboards).Internal involvement at Elevate:Writing internal technical articles to capitalize on data best practices.Conducting experience feedback (REX) on my missions and regular sharing with teams.Participating in recruitment interviews for data analyst profiles.Mentoring and upskilling junior profiles.Technical referent on several data topics within the collective.
- ChronoDriveData Steward / Data ScientistJuly 2022 - November 2023 (1 year and 4 months)
- Analysis of data anomalies and reporting to the IT department for correction
- Creation of a dashboard to communicate on data quality
- Creation of an algorithm for automatic anomaly detection in data and reporting for business units
- Tools: Snowflake, Jupiterlab, Qlik Sense, Qlik View, Looker Studio
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Education
- SQL for Data Science Machine learningScikit-learnSQL for Data Science Machine learning
- Certificate of success in the "Digital Marketing Fundamentals" exam Introduction to Python for data analysisTOEICCertificat reussite à l'examen "Fondamentaux marketing numérique" Introduction to Python for data analysis