Hind BEN SBIH
Data Analyst | BI Consultant | Data Engineer
Salaire / Taux journalier
Casablanca, Maroc
Freelance, ouvert au CDI
Expertises
Langues
À propos
Introduction
Dynamic Expert Data passionate about turning data into strategic value. Goal: close the gap between insights and decision-making. Proven expertise in tracking, KPI definition, and data governance enables organizations to make smarter, faster, and more reliable product decisions. Led large-scale projects impacting 20M+ active users across multiple countries, ensuring data is not just collected but transformed into actionable insights. Operating at the intersection of business and technology, thrives in agile, cross-functional environments where collaboration drives measurable growth. Expertise spans scalable tracking frameworks, decision-ready dashboards, and robust data quality practices, with a focus on delivering impact, not just reports.
Expérience de travail
Orange
juin 2024 - Présent
2 ans 5 mois
Casablanca-Settat, Maroc
Senior Data Analyst : Tracking & Analytics
juin 2025 - Présent
1 an 5 mois
Casablanca-Settat, Maroc
Focus on data-driven product strategy for the Max it app (Super App, Mini apps, TV Plugin). • Data-driven product ownership: defined KPIs with business owners. • Tracking ownership: designed and evolved tagging plans. • Wrote data-oriented user stories: acceptance criteria definition, validation of tracked events, backlog prioritization. • Agile facilitation: active participation in Scrum rituals, coordinated developments with technical teams to ensure deadlines and sprint commitments. • Data governance & quality: implemented best practices (naming, versioning, GDPR), maintained and updated the Data Catalog. • Cross-functional facilitation: coordinated product, UX, tech, data, and business teams to ensure strategic alignment and consistency of deliverables. Technologies: Segment, Firebase, GA4, Clickhouse, Looker Studio, BigQuery, SQL, Python, Agile/Scrum.
Data Analyst
juin 2024 - mai 2025
1 an
Casablanca et périphérie
Product and performance analysis for the Max it app active across 17 countries. • Designed and managed tracking plans with tech and product teams. • Built more than 20 dashboards for internal teams, partners, and country entities. • Defined and monitored key KPIs adapted to user journeys. • Conducted exploratory analyses and reporting to support product and marketing decisions (20M Active Users, app store rating > 4). Technologies: GA4, Segment, Firebase, Clickhouse, Looker Studio, BigQuery, SQL, Python.
Data Scientist
beder
juil. 2023 - mai 2024
11 mois
Barcelone, Espagne
Built data infrastructure and delivered analytical insights. • Automated data pipelines with optimized collection times. • Developed a Data Warehouse and implemented analytical algorithms. • Data collection, consolidation, and modeling with Python, BigQuery, and AWS. • Calculated KPIs and performed in-depth analyses. • Built interactive dashboards and reporting, improving marketing campaign performance by 30%. • Developed a travel route planner model to generate optimized itineraries for users. Technologies: DynamoDB, AWS SageMaker, AWS Lambda, BigQuery, GA4, Looker Studio, Vertex AI.
Data Analyst
Confidential
févr. 2023 - juil. 2023
6 mois
Al Hoceïma, Maroc
Built automated ETL pipelines for large-scale data analysis. • Designed and implemented data pipeline automation, reducing processing time by 50%. • Improved data storage management, increasing accessibility by 40%. • Developed ETL pipelines in Python, reducing data processing errors by 80% and boosting team productivity by 60%. • Created interactive analysis visualizations and detailed reports. Technologies: HDFS, Spark, MongoDB, Python, Git/GitHub, Flask, Docker, Power BI.
Data Engineer
NTT DATA
févr. 2022 - janv. 2023
1 an
Tétouan et périphérie
Set up an On-Premise Big Data platform for talent development in Big Data. • Built data collection and transfer system, improving data management efficiency by 50%. • Managed data flows to ensure seamless information circulation. • Successfully implemented ETL data pipelines, reducing processing time by 40%. • Processed and aggregated data to deliver actionable insights to end users. • Exposed results through interactive dashboards. Technologies: Kubernetes, NIFI, HDFS, Spark, Airflow, PostgreSQL, Grafana, Hive, Python/Scala, Jenkins.
Formation
Université Abdelmalek Essaâdi Tétouan
Bachelor’s in Mathematics & Computer Science, Computer Science
Université Abdelmalek Essaâdi Tétouan
Master’s in Intelligent Systems & Decision Support Systems