Position Description:
At CGI, we are seeking an experienced and driven Data Analyst with strong data engineering and data platform capabilities. In this hybrid role, you will bridge the gap between business needs and technical solutions, focusing on data-centric initiatives. The ideal candidate will have hands-on experience in SQL, ETL processes, and modern Azure-based data platforms (including Databricks and Medallion architecture), along with strong skills in business requirement gathering, stakeholder engagement, and supporting the full project lifecycle. This is a permanent, full-time role based in Atlantic Canada on a hybrid basis (2–3 days in office).
Your future duties and responsibilities:
. Collaborate with system owners, business users, and data engineering teams to define and document data requirements, operational goals, and analytics needs
. Lead requirements-gathering sessions for data-centric projects to improve business processes and information flow
. Analyze existing systems and data processes to identify areas for enhancement and optimization
. Translate business needs into functional and technical requirements for developers, data engineers, and other technical stakeholders
. Support data modeling, data quality, and data governance efforts by providing clear and structured documentation
. Create process models, data flow diagrams, use cases, and user stories to communicate solutions
. Validate business requirements, support User Acceptance Testing (UAT), and coordinate with QA teams to ensure solution quality
. Participate in the design and delivery of ETL workflows, data mappings, and integration logic
. Work with Azure Databricks to design and optimize data pipelines following Medallion architecture principles (Bronze, Silver, Gold layers)
. Ensure alignment of system solutions with enterprise data architecture and compliance standards
. Work across both in-person and virtual teams in a hybrid work environment
Required qualifications to be successful in this role:
Experience:
• 4–6 years as a Data Analyst
Technical Skills & Tools (Must have) :
• Bachelor's or College degree in Computer Science, Information Systems, Business, or a related field
• 5+ years of experience as a Business Systems Analyst or Data Analyst, with a strong focus on data platforms and analytics.
• Solid experience in SQL programming and working with relational databases
• Hands-on knowledge of ETL processes and tools
• Experience working on data warehousing or enterprise data projects from concept to deployment
• Strong understanding of data modeling, data governance, and data quality frameworks
• Proven ability to translate business needs into technical solutions and communicate with both technical and non-technical stakeholders
• Practical experience with Azure data services, including Azure Databricks, Azure Data Factory, and Azure Synapse Analytics
• Understanding of Medallion data architecture and best practices for building scalable, layered data models
• Data Mapping, Lineage, and Metadata management
• Experience with SRS Documentation, Dataflows, Lineage.
• Familiarity with Agile methodologies
CGI is providing a reasonable estimate of the pay range for this role. The determination of this range includes factors such as skill set level, geographic market, experience and training, and licenses and certifications. Compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $60,.00–$,.00. This role is an existing vacancy.
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