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Data Analyst

Canada, Saint-Laurent · Job Posted July 03, 2026
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Job Description

This Healthcare company in Mississauga is looking for a Data Analyst. Additional information: Contract: Consultation; Term: 6 months (with potential for extension); Start date: July 2026; Schedule: 37.5 hours/week; Status: Hybrid (Ville Saint-Laurent)

Job Responsibility

  • Build and maintain business-ready data products and semantic models that translate curated enterprise data into accessible structures for analytics and reporting
  • Design, develop, and maintain semantic layer datasets aligned with business logic, KPIs, and reporting standards
  • Perform data transformations, aggregations, and modelling within the Gold / Presentation layer, applying business rules while maintaining data integrity and compliance
  • Write and optimize complex queries using SQL to support analytics, reporting performance, and data model efficiency
  • Collaborate with enterprise data and governance teams to refine layer datasets, ensuring alignment between technical data structures and business requirements
  • Identify and resolve data quality, performance, and model alignment issues
  • Resolve complex conflicts between business definitions, KPIs, and data models, ensuring consistency with enterprise standards
  • Document data models, semantic layers, and analytics solutions, including business definitions, mappings, and technical specifications
  • Contribute to the creation, maintenance, and evolution of Data Contracts, contextual data layers, and business ontologies

Requirements

  • Bachelor’s degree or equivalent combination of education and experience
  • Typically requires 3–5+ years of experience in analytics, business intelligence, or data-related roles
  • Strong proficiency in SQL for data transformation, aggregation, and analysis
  • Experience with business intelligence tools (e.g., Power BI) and semantic modeling (e.g., star schema, dimensional modeling)
  • Experience working with curated datasets (Gold / Presentation layer) and analytics-ready data
  • Experience working with modern cloud data platforms (e.g., Snowflake, Azure, Databricks or similar)
  • Familiarity with version control, CI/CD workflows, and collaborative development practices (e.g., Git, GitHub, pull/merge request workflows)
  • Familiarity with data governance, data quality, and metadata management concepts
  • Strong analytical thinking, problem-solving, and stakeholder engagement skills with effective communication skills for both technical and business audiences
  • Experience in healthcare or other regulated industries is preferred

Nice to have

Experience in healthcare or other regulated industries is preferred

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