Hey, I'm Yassir Ghlalou
Data Analyst & BI Specialist
Results-driven Data Analyst with expertise in Power BI, Python, and statistical analysis. I transform raw data into actionable insights, building interactive dashboards and automating workflows for telecom, engineering, and technology sectors. Ready to unlock your data's potential?
Professional Experience
Transforming data into insights across telecom, engineering, and technology sectors
Power BI Data Analyst
AFD Technologies • Rabat, Morocco
Telecommunications & Network Infrastructure
Leading business intelligence initiatives for network operations at AFD Technologies, specializing in real-time dashboard development and automated reporting systems. Responsible for transforming complex telecommunications data into actionable insights for operational decision-making and performance optimization.
Key Achievements & Responsibilities:
- Dashboard Development: Designed and deployed interactive Power BI dashboards for network operations, reducing reporting time by 30% and enabling real-time monitoring of critical KPIs
- Process Automation: Automated KPI tracking processes, increasing reporting efficiency by 25% and eliminating manual data collection bottlenecks
- System Integration: Integrated SAP data sources into BI reports to enhance operational visibility and provide comprehensive business intelligence solutions
- Cross-functional Collaboration: Collaborated with engineering teams to refine performance metrics and ensure alignment with business objectives
- Training & Documentation: Delivered training and comprehensive documentation to improve self-service analytics adoption across departments
Data Analyst
Bell • Salé, Morocco
Telecommunications & Geospatial Data Management
Specialized in geospatial data analysis and business address validation for Bell's telecommunications infrastructure. Developed automated workflows to ensure data integrity and implemented quality assurance standards for location-based services and network planning operations.
Key Achievements:
- Data Accuracy Improvement: Validated and corrected business addresses using Google Maps API, improving data accuracy by 22%
- Geospatial Workflows: Built automated geospatial analysis workflows to detect and resolve location data discrepancies
- Process Automation: Developed SAS-based automations reducing manual validation effort by 40%
- Quality Standards: Documented processes and created QA standards to ensure long-term data integrity
- Issue Resolution: Resolved data-related issues within 24 hours via cross-functional collaboration
Power BI Data Analyst
Capgemini Engineering • Casablanca, Morocco
Engineering Consulting & Business Intelligence
Led the digital transformation of reporting systems at Capgemini Engineering, transitioning from legacy Excel-based processes to modern Power BI solutions. Specialized in developing complex DAX measures and implementing enterprise-level business intelligence solutions for engineering consulting projects.
Key Achievements:
- Digital Transformation: Migrated Excel-based reporting to Power BI, enabling real-time analytics and reducing preparation time by 50%
- Advanced Analytics: Developed advanced DAX measures for complex KPI calculations and performance metrics
- Security Implementation: Implemented role-based security to protect sensitive information and ensure data governance
- Stakeholder Engagement: Gathered requirements and delivered actionable dashboards for multiple stakeholder groups
Skills & Technologies
Expertise in modern data analysis tools and methodologies
🛠️Tools & Technologies
📊Data Analysis
🎓Education
PhD in Automotive Cybersecurity
University Ibn Tofail (2021 - Present)
Master's in Electrical Engineering
University Ibn Tofail (2018 - 2020)
Featured Projects
Real-world solutions delivering measurable business impact
Sales Performance Dashboard
Interactive dashboard to track sales KPIs across regions, enabling real-time strategic decisions and improving business performance visibility.
Geospatial Data Validation
Automated address verification workflows, improving geospatial accuracy by 25% and streamlining data validation processes for business operations.