This role is hybrid and requires you to be at our downtown Toronto and/or Client office at a minimum 3 days per week - subject to change at any time.

Your future duties and responsibilities

Individually these are just words, but together they are our Values – Care, Commitment, Community, and Confidence. We are seeking a collaborative and resourceful Data Systems Analyst for our fast-paced Technology Delivery Data function.

You will be leading the data systems analysis team and help scale the data and analytics capabilities. You will be responsible for being a liaison between various business units and technical data teams. You'll be required to apply your depth of knowledge and expertise to all areas including requirements, documentation, road mapping, data analysis, and data analytics. Further, you will be part of the data transformation initiatives build the right data mindset to enable our direct-to-consumer business, data science capabilities, and expand our digital footprint. This role will be part of and a member of our Information Technology Data Delivery Group. You will be responsible for creating the center of excellence for the data ecosystem artifacts creation, maintenance, and project requirements in a high-performing, and experienced team.

You'll be required to apply your depth of knowledge and expertise to all many areas including requirements, infrastructure, and solution documentations. Exciting journey to modernize, craft, and build a next generation of data platform to support the growing data needs for data engineering, analytics, and Data Science. We embrace a culture challenging the status quo and constantly look to efficiently simplify processes, technology, and workflow.

Required qualifications to be successful in this role

. Analyze structured and semi-structured data related to claims, policies, underwriting, and customer interactions.
. Identify patterns in claims frequency, fraud indicators, and loss ratios using lakehouse datasets.
. Support actuarial teams with data extracts and trend analysis.

1. Customer & Risk Insights
   . Segment customers based on behavior, risk profiles, and product usage.
   . Analyze customer lifetime value, churn risk, and cross-sell/up-sell opportunities.
   . Collaborate with risk and compliance teams to monitor exposure and regulatory thresholds. 3. Regulatory & Compliance Reporting
   . Prepare data extracts and reports for regulatory bodies (e.g., OSFI, FSRA, NAIC).
   . Ensure data lineage and traceability for audit and compliance purposes.
   . Validate data accuracy and completeness for filings and disclosures. 4. Data Wrangling & Preparation
   . Clean and transform raw data from diverse sources (e.g., policy admin systems, CRM, claims systems) into analytics-ready formats.
   . Leverage lakehouse tools (e.g., Delta Lake, Apache Iceberg) to manage versioned and time-travel datasets.
   . Collaborate with data engineers to ensure efficient ETL/ELT processes.

2. Business Intelligence & Visualization
   . Build dashboards and visualizations for underwriting, claims, finance, and product teams.
   . Use tools like Power BI, Tableau, or Qlik to present insights from lakehouse data.
   . Enable self-service analytics by creating reusable datasets and semantic layers.

3. Data Quality & Governance
   . Profile and validate data to ensure consistency across policy, claims, and financial domains.
   . Tag and catalog datasets using metadata tools (e.g., Unity Catalog, Collibra).
   . Support master data management and reference data initiatives.

4. Collaboration & Stakeholder Engagement
   . Work with actuaries, underwriters, product managers, and IT teams to understand data needs.
   . Translate business questions into analytical queries and data models.
   . Document business logic, assumptions, and data definitions clearly. 8. Predictive & Advanced Analytics Support
   . Assist data scientists with feature engineering and exploratory data analysis.
   . Provide historical data extracts for model training and validation.
   . Interpret model outputs and integrate them into business reporting. What you'll bring
   . University degree in Computer Engineering or Computer Science.
   . Minimum 5 years' of experience successfully leading Data Systems Analysis organizations with expertise in building large-scale enterprise data assets.
   . 8+ years' experience as a Business Analyst working on mid-large projects for data design, development, and implementation of business-critical enterprise data systems.
   . Solid grasp/experience with data technologies & tools (Snowflake, Hadoop, PostgreSQL, Informatica, etc.,)
   . Outstanding knowledge and experience in ETL with Informatica product suite.
   . Experience establishing documentation standards frameworks for data quality, data governance, stewardship and metadata management.
   . Ability to foundationally understand complex business process driving technical systems.
   . Strong leadership and influencing skills at the senior management level.
   . Strong analytical, critical thinking and problem-solving skills.
   .Strong stakeholder management.
   . Solid understanding of Project and Program Management processes.
   . Excellent verbal and written communication skills.
   . Insurance knowledge an asset.
   #LI-AV1

Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

At CGI, we value the strength that diversity brings and are committed to fostering a workplace where everyone belongs. We collaborate with our clients to build more inclusive communities and empower all CGI partners to thrive. As an equal-opportunity employer, being able to perform your best during the recruitment process is important to us. If you require an accommodation, please inform your recruiter.

To learn more about accessibility at CGI, contact us via email. Please note that this email is strictly for accessibility requests and cannot be used for application status inquiries.

Come join our team—one of the largest IT and business consulting services firms in the world.