Yassine Ennadi

Gathering and analyzing business needs related to business intelligence to scope projects and application evolutions.

Coordination with the Business Intelligence Business Analyst for BI project management and maintenance request tracking.

Complete project lifecycle management: scoping, planning, workload tracking, acceptance testing, and production readiness.

Daily management of development and testing teams to ensure deadlines and commitments are met.

Preparation and facilitation of steering committees: COMOP, daily meetings, business workshops, and project committees.

Weekly schedule tracking, progress reporting, and project risk management.

Preparation and presentation of files in Architecture Committee meetings in collaboration with architects.

Supervision of business intelligence processes related to data feeding, transformation, and reporting.

Incident, anomaly, and change request tracking via Jira and coordination of application maintenance activities.

Participation in functional acceptance testing phases and validation of deliverables with business stakeholders.

Expertise Applied:

BI Project Management and Application Maintenance.

Management of business intelligence activities and cross-functional coordination.

Facilitation of Agile ceremonies and operational team monitoring.

Management of schedules, workloads, risks, and project reporting.

Data Governance and quality monitoring of business intelligence deliverables.

Coordination between Business Analysis, Development, and Architecture in Data & BI environments.

Technical Environment: XDI, ODI, Talend, SAS, Azure, Snowflake, Jira, Clarity, Squash, SQL

Keywords: BI Project Manager, Business Intelligence, Application Maintenance, Business Analyst, Data Management, ETL, XDI, Snowflake, Azure, Jira, Clarity, Squash, Data Governance, Reporting, Agile, COMOP, Acceptance Testing, Production Deployment

Strategic mission to structure and govern data in an international BI environment, aiming to improve the reliability of business indicators and accelerate reporting production.

I supported business stakeholders in formalizing their needs and managed the implementation of a robust BI chain based on Looker and Power BI, ensuring the consistency and compliance of delivered products.

Technical Environment: Power BI, Looker, LookML, Looker Studio, Dataiku, BigQuery, Spotfire, DataLake, GCP, Jira, Confluence

Keywords: Data Product Owner, BI Project Manager, Power BI, Looker, LookML, Data Governance, Data Mapping, Dashboard, GCP, Dataiku, Agile, Backlog, Reporting, Data Product

Formalization and validation of business and IT needs: scoping business and technical use cases, facilitating workshops with business departments and IT teams, writing functional and technical specifications.

Project management for data flow migration: supporting the transition of flows from legacy tools to new solutions, securing data, and ensuring service continuity for the implementation of electronic invoicing.

Data mapping: analysis of existing and target flows, definition of transformation rules, verification of data consistency and quality between source systems, intermediate platforms, and reporting tools.

Coordination between business teams, IT, and external partners: aligning functional, technical, and regulatory constraints, arbitrating priorities, and managing dependencies.

Monitoring regulatory and functional compliance: integrating requirements related to electronic invoicing, ensuring adherence to standards, IT processes, and data governance standards.

Project reporting and communication: progress tracking, project committees, IT reporting, document capitalization, and knowledge sharing.

Expertise Applied:

Product Ownership and Data & IT project management.

Scoping of business and IT use cases.

Flow migration and information system modernization.

Data Governance, Quality, and Traceability.

Agile backlog management and multi-stakeholder coordination.

Regulatory compliance and electronic invoicing.

Technical Environment: Jira, Confluence, SNOW, legacy systems (Loup) and target systems (Pennylane), data platforms (Microsoft Fabric), BI tools, APIs and exchange flows, Cloud and on-premise environments.