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NamurHybrid8 hours/week6-12months
Strengthen a team responsible for the valorization and consolidation of data from multiple sources.
- Establish and evolve a decision-making information system.
- Centralize, transform, and exploit various data sources to produce KPIs, statistics, reports, dashboards, and alerts.
- Continue a Business Intelligence POC, followed by its extension and industrialization on the available infrastructure.
What you do
- Analyze available data sources and their structure.
- Understand and rationalize business concepts and reporting needs.
- Analyze existing reports developed with Excel and BI tools.
- Identify links between different sources and define consolidation needs.
- Design and evolve the decision-making data model, particularly using a star schema approach.
- Participate in the design and development of the Data Warehouse.
- Implement ETL processes: extraction, transformation, and loading of data.
- Develop procedures for feeding the decision-making database.
- Design semantic layers and BI reports.
- Develop dashboards, KPIs, and cross-analyses.
- Participate in the realization and finalization of a POC with Power BI Desktop.
- Contribute to the industrialization of the POC on local or cloud infrastructure.
- Automate the integration of different data sources.
- Document developed solutions and completed work.
- Collaborate closely with business, technical, and Data teams.
What they ask
- Several years of experience in Business Intelligence / Data Warehouse.
- Excellent command of designing and implementing BI solutions.
- Significant experience in data modeling and integration of heterogeneous sources.
- Ability to formalize business needs and translate them into BI models, reports, and solutions.
- Experience in creating semantic layers, reports, and dashboards.
- Good understanding of Data architectures and ETL processes.
- Experience implementing BI solutions in a Cloud environment (Azure or AWS).
- Ability to work autonomously while collaborating effectively with various stakeholders.
Technical environment.
- Business Intelligence / Data Warehouse
- Power BI, SSIS / SSAS / SSRS, Azure Data Factory, SAP BI
- Databases: Oracle, MySQL/MariaDB, SQL Server, PostgreSQL
- Data integration and architecture, ETL / ELT
- Dimensional modeling / star schema
- Semantic layers and reporting
- Cloud environments: Azure or AWS
- Development / programming: Python, Matlab, C, C++, Java, HTML/CSS, JavaScript, PHP, R
Soft skills.
- Entrepreneurial spirit and autonomy.
- Excellent oral and written communication skills.
- Assertiveness and active listening.
- Analytical and critical thinking.
- Excellent synthesis capability.
- Pragmatic and problem-solving approach.
- Good organizational and planning skills.
- Ability to work in an experimental and evolving context.
- Stress resistance.
- Collaborative spirit.
Languages.
- French: C2 (professional proficiency, essential)
- English: B2 (minimum)
How to apply
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