Ahmed Horri

Within the CCOE and as a Data Business Analyst, I act as the interface between business and technical teams to translate business needs into robust, scalable data solutions aligned with the company's strategic objectives. My role involves supporting the design and implementation of high-performance decision-making solutions, while ensuring data quality and compliance with governance policies. Key responsibilities: Participation in the implementation of reliable and scalable data solutions that meet business needs for steering and analysis. Data Architecture: Contribution to the definition of modern and scalable data architectures, suitable for complex and fast-growing environments. Discovery Phases: Involvement in the upstream phases of data projects, including needs analysis, use case definition, and selection of the most relevant modeling approaches. Business Process Analysis and Mapping: Conducting workshops and interviews to understand, formalize, and structure business processes and associated data flows. Data Flow Modeling and Management: Defining data flows between source systems and data warehouses, designing data models (conceptual and logical), and selecting appropriate patterns. Implementation and monitoring of systems ensuring data quality, integrity, and usability. Close collaboration with Data Engineers, Data Managers, and business teams to ensure smooth, coherent delivery aligned with objectives. Self-service Business Intelligence: Contribution to the implementation of BI environments enabling business teams to autonomously access data and indicators. Participation in data governance initiatives to ensure structured steering and continuous improvement loops.

As part of a project to develop an internal application for detecting market abuse, compliant with MAD2/MAR regulations, I was involved in a comprehensive program to establish a financial activity monitoring system. My role consisted of supporting technical and business teams in the design, implementation, and industrialization of reliable data solutions that meet regulatory and operational requirements. Key responsibilities: International Team Technical Support: Supporting development teams based in London, including technical expertise, code review and analysis, validation of proposed solutions, and setting up development environments. Data Flow Design and Implementation (ETL): Developing and optimizing data extraction, transformation, and loading processes to ensure their quality, consistency, and compliance with system needs. Data Modeling and Repository Evolution: Analyzing existing data models, improving current structures, and designing new models suitable for market abuse detection use cases. Development of Detection Frameworks: Contributing to the implementation of mechanisms and rules for identifying suspicious activities in financial markets. Solution Industrialization and Integration: Ensuring the technical integration of developments into the information system, respecting IT standards and production constraints. Solution Testing and Validation: Writing and executing unit and functional tests to ensure the reliability and robustness of deliverables. Data Visualization and Alert Monitoring: Designing visualizations for analyzing and monitoring alerts generated by detection systems.

As part of a project to develop a benchmarking application for analyzing mobile phone and plan offers in the market, I was involved in designing a decision-support tool to compare competitor offers and identify market trends. My role consisted of structuring, validating, and leveraging collected data to provide relevant analyses to business teams. Key responsibilities: Business Needs Analysis and Project Scoping: Identifying competitive intelligence challenges, defining key indicators (price, positioning, offers, trends), and formalizing functional requirements. Market Data Collection and Structuring: Implementing automated data collection mechanisms (via APIs and web sources) to populate a reliable and usable analysis database. Design of a Benchmark Data Repository: Structuring and centralizing data in a dedicated database, ensuring its consistency, historical tracking, and usability for comparative analyses. Data Analysis and Valorization: Processing and analyzing collected data to provide insights into competitor positioning and market dynamics. Implementation of Reporting and Visualization Tools: Developing dashboards and visualizations to help business teams track market developments and facilitate decision-making. Data Reliability and Quality: Implementing controls and processes to ensure data quality, consistency, and regular updates. Solution Industrialization and Continuous Improvement: Contributing to the evolution and optimization of the application to meet new business needs and ensure its sustainability. Technical Environment: Python, AWS, Logstash, Elasticsearch, Kibana, Docker, Web Scraping, PostgreSQL.