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Senior Business Analyst

Toronto, ON, Canada
Role: Senior Business Analyst
Location: Toronto, ON
Duration: 1 year plus
Hybrid : 3 days work from office and 2 days work from home

Must Haves: 

  • In-depth knowledge of database management systems (e.g., SQL Server, Oracle, MySQL, Data Bricks). 
  • Ability to write complex queries, joins, subqueries, and use SQL functions 
  • Experience with Agile project methodology leveraging Azure DevOps 
  • Experience transposing requirements into coherent user stories 
  • In-depth knowledge of delta tables, ETL pipelines, change data capture and databricks 

General Skills - 50% 

  • 5–8 years of experience as a Business Analyst, with at least 3 years focused on data-centric projects 
  • Experience in large-scale system integrations, data migrations, or legacy system replacements 
  • Experience with agile practices, including sprints, user stories, and iterative development, especially when working in an agile data environment 
  • Experience grooming and assembling requirements into coherent user stories and use cases and managing the Product Backlog Items, refining them and communicate changes to project manager/Team Lead 
  • Lead and conduct business analysis in order to assess client’s business problems/opportunities at varying levels of detail appropriate to the project 
  • Analyze current and future data needs, data flows, and data governance practices to support enterprise data strategies 
  • Translate business requirements into data requirements (e.g., data sourcing, transformation logic, reporting needs, and data quality rules) 
  • Lead data discovery efforts and participate in the design of data models and data integration solutions 
  • Support data migration, data warehousing, and business intelligence initiatives by ensuring clarity and accuracy of requirements 
  • Ability to write clear and comprehensive documentation: business requirements documents (BRD), data dictionaries, mapping documents, and use cases. 
  • Conduct gap analyses between current and desired states of data assets or data processes 
  • Ensure data requirements align with privacy, security, and OPS regulatory standards  
  • Conduct business modeling; use case modeling; conceptual and logical data modeling; process and data flow modeling; use case surveys; business rules definition and non-functional requirements definitions 
  • Experience in the use of Computer Aided Software Engineering (CASE) tools to document conceptual requirements and scope 
  • Apply re-engineering concepts to promote business improvements through alternative and cost effective service delivery approaches 

Technical and Project Management Expertise - 50% 

  • Expert Knowledge of data warehouse design methodologies, delta lake, Medallion Architecture  
  • Experience working with relational databases (e.g., SQL Server, Oracle), Azure Databricks SQL Warehouse, Azure Data Lake 
  • Strong skills in SQL query, manipulate, and retrieve data from relational databases. 
  • Experience how to create and interpret Entity-Relationship Diagrams to represent the relationships between different data entities 
  • Strong knowledge of data analysis techniques, data modeling, data warehousing, and of Extract/Transform/Load processes (ETL) processes 
  • Solid understanding of data governance, data quality, metadata, and master data management (MDM) 
  • Ability to analyze data patterns, structures, and business requirements to define an optimal data model 
  • Ability to translate business requirements into effective data models that align with organizational goals 
  • Documenting definitions, structures, and rules for data elements 
  • Familiarity with reporting tools (e.g., Power BI) and how data is structured  
  • Experience in defect fixing, testing support and development activities for ETL tool 
  • Experience in the development and maintaining a plan to address contract deliverables, through the identification of significant milestones and expected results with weekly status reporting. 
  • Good communication skills to explain complex data modeling concepts to non-technical business users and ensure alignment with their needs 
  • A team player with a track record for meeting deadlines 

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