Functional Analyst

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
  

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

• Azure ML, Azure OpenAI, Azure Cognitive Services, Azure Search
  
• Databricks, Azure DevOps, Azure Data Lake, Azure Functions
  
• MS SQL Server, Splunk, Log Analytics, Dynatrace
  
• Python (required), R (asset)
  
• Databricks experience (AI/ML context – asset)
  
• SQL knowledge (preferred)