Join Talan as a Senior Analytics Engineer in Data & Analytics. Based in Paris, France with a hybrid work arrangement, you will be the pivotal link between Data Engineering teams, business stakeholders and data analysts, turning data into reliable, governed analytics assets using DBT for data transformation, Power BI for visualization and AI capabilities to accelerate value and democratize data access. You will gather, analyse and challenge business needs to design analytical solutions that support management and decision making; design, develop and industrialize data transformation pipelines with DBT on modern platforms (Databricks, Snowflake, GCP BigQuery, Microsoft Fabric); build and maintain robust analytical data models (data marts, semantic layer, business metrics, dimensions and facts) ensuring coherence and reusability; ensure data quality, reliability and traceability through automated tests, governance rules and documentation; design and develop dashboards, reports and applications in Power BI with business relevance, performance and user experience; define KPIs to ensure a single, shared view of the data; leverage AI and generative AI to accelerate development (SQL/DBT/DAX code generation, automated documentation, data quality testing, exploratory analysis, insights generation) and to automate development and maintenance processes; exploit AI features integrated into analytics platforms (Copilot for Power BI, development assistants, semantic search, natural language queries) to boost productivity and user experience; contribute to Analytics Engineering best practi

Join Talan as a Senior Analytics Engineer in Data & Analytics. Based in Paris, France with a hybrid work arrangement, you will be the pivotal link between Data Engineering teams, business stakeholders and data analysts, turning data into reliable, governed analytics assets using DBT for data transformation, Power BI for visualization and AI capabilities to accelerate value and democratize data access. You will gather, analyse and challenge business needs to design analytical solutions that support management and decision making; design, develop and industrialize data transformation pipelines with DBT on modern platforms (Databricks, Snowflake, GCP BigQuery, Microsoft Fabric); build and maintain robust analytical data models (data marts, semantic layer, business metrics, dimensions and facts) ensuring coherence and reusability; ensure data quality, reliability and traceability through automated tests, governance rules and documentation; design and develop dashboards, reports and applications in Power BI with business relevance, performance and user experience; define KPIs to ensure a single, shared view of the data; leverage AI and generative AI to accelerate development (SQL/DBT/DAX code generation, automated documentation, data quality testing, exploratory analysis, insights generation) and to automate development and maintenance processes; exploit AI features integrated into analytics platforms (Copilot for Power BI, development assistants, semantic search, natural language queries) to boost productivity and user experience; contribute to Analytics Engineering best practi