Data Analyst – Insurance Domain

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 in the insurance domain. 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:

. 4–6 years as a Data Analyst in Insurance Domain

Technical Skills & Tools (Must have) :

. Azure Data Fabric, Azure Data Factory, Dataflows,
. Medallion Architecture.
. Databricks and Synapse
. Python and related libraries (e.g., Pandas, PySpark) for ETL and data processing in Databricks
. Data Mapping, Lineage, and Metadata management
. Power BI / Tableau for reporting and visualization
. Strong SQL, ETL/ELT, and cloud data architecture expertise
.

Experience with semantic models, dataflows, and reusable datasets
. Familiarity with Agile methodologies

#LI - OA1

Skills: