The Data Platform Directorate is responsible for implementing innovative capabilities that support Desjardins’ data-driven transformation. Functional analysts will work in an Azure cloud environment leveraging Infrastructure-as-Code (IaC), Configuration-as-Code (CaC), and Continuous Deployment (CD). They are responsible for translating business needs into detailed functional and non-functional specifications to enable the development, configuration, and evolution of analytical solutions. They also contribute to the quality strategy and its implementation in medium to large-scale environments. Main Mission Ensure functional analysis and migration of existing analytical use cases to the new Data Platform (PDM). The role involves a deep understanding of current systems, dependency analysis, defining the target state, and supporting technical teams in rebuilding use cases within the PDM ecosystem. Specific Responsibilities Perform in-depth analysis of existing analytical use cases (sources, transformations, business rules, pipelines, reports, models) Document the current state (as-is) and define the target state (to-be) adapted to the PDM Gather requirements and analyze new use cases (sources, transformations, business rules, pipelines, reports, models) Identify dependencies, impacts, and required adjustments Define functional specifications needed to build use cases in the data platform Support technical teams in integration and validation Ensure traceability between old and new systems Participate in testing strategy and functional validation Collaborate with BI, AI, Data Engineering, and Infrastructure teams Requirements Required Knowledge & Skills Knowledge of analytical architectures (data lakes, warehouses, ETL, pipelines) Knowledge of MLOps and LLMOps concepts Strong knowledge of ML/AI services: Azure ML, Azure OpenAI, Cognitive Services, Azure Search Generative AI and NLP (fine-tuning, prompt engineering, model integration) Python (required), R (an asset) Experience with Databricks (AI/ML context – an asset) Experience with current-state analysis, technology migrations, or functional reverse engineering Strong understanding of business rules and data transformations Familiarity with analytical platforms and BI SQL knowledge (preferred) Associated Technology Environment Python (required), R (asset) #J-18808-Ljbffr