Data Analyst, Google Cloud Platform (GCP) Internal Title: Data Analyst As a Data Analyst, Google Cloud Platform (GCP), you will play a key role in the design, industrialization, and optimization of up-to-date data pipelines on the Google Cloud platform. You will actively contribute to building a robust, scalable, and AI-driven data architecture. You will work closely with multidisciplinary teams to deliver concrete, high value-added solutions for the organization. As a Data Analyst, Google Cloud Platform (GCP) , you will be at the core of our mission. Data Engineering & GCP Platform Design, develop, and maintain high-performance, secure, and scalable data pipelines (ETL/ELT) on Google Cloud Platform (GCP). Leverage GCP services such as: BigQuery (analytics data warehouse) Cloud Storage (raw data and data zones storage) Dataproc (distributed Spark/Hadoop processing) Cloud Run (deployment of data services and microservices) Cloud Workstations (development environments) Participate in the implementation of modern data lakehouse architectures. Design and orchestrate data processing pipelines using Prefect. Implement CI/CD pipelines with GitHub Actions. Automate deployments and infrastructure using Terraform (Infrastructure as Code). Data & AI Enablement Prepare, transform, and structure data to support analytics and artificial intelligence use cases. Collaborate with data scientists to facilitate access to reliable and governed data. DevOps, DataOps and Reliability Implement DevOps/DataOps practices: Automated testing Pipeline monitoring Error handling and alerting Ensure data quality, traceability, and governance.



Product Owners and Product Managers (PO & PM) Architects, Data Scientists, Business partners Translate business needs into robust technical solutions. Participate in an on-call rotation one week per month, with additional compensation. Has 5 to 10 years of experience in data engineering, ETL/ELT development, or a related field. Holds a degree in computer science, software engineering, or an equivalent field. Masters data modeling concepts (Data Vault, star schema, etc.). Has expertise in pipeline orchestration (e.g., Understands data governance, security, and cloud access management (IAM) Shows autonomy, rigor, and a constant focus on quality. Thrives in an agile and multidisciplinary environment. Has excellent proficiency in French, both spoken and written. Has an intermediate level of English, as the role involves leading presentations and meetings with internal and external stakeholders on a weekly basis. Important Assets Knowledge of investment and financial data (portfolios, transactions, market prices), a major asset Professional Data Engineer) An environment focused on innovation and modern data (GCP-first) A strong culture of collaboration between IT, data,



and business teams A flexible hybrid work environment Competitive

benefits:
flexible group insurance, competitive retirement plan, employee share purchase plan, vacation and wellness/personal development days, telemedicine, employee and family assistance program, ergonomic equipment program, performance bonus, discounts on iA products, and more Posting End Date With over $200 billion in assets and half a billion invested in technological innovation, we’re a key player in the financial services industry in Canada and the United States. Because, for over 125 years, we have believed that it’s by supporting our employees and surrounding ourselves with the most reputable leaders in the industry, we will continue to innovate. iA Financial group includes the following entities: iA Services financiers, iA assurance auto et habitation, iA Gestion privée de patrimoine, PPI Management, Investia, iA Gestion de placements, Prysm, iA Clarington, Michel Rhéaume et associés, Garanties Nationales, WGI Manufacturing, WGI Service Plan Division, Lubrico, iA Financement auto Our Commitment to Diversity and Inclusion At iA Financial Group, we support and celebrate diversity. We strive to provide a workplace that is recognized as inclusive for all, regardless of ethnic origin, nationality, language, religious beliefs, gender, sexual orientation, age, marital status, family situation, or physical or mental disability. Please note that if you need help or assistance to make the recruitment process more accessible for you, please Contact us here.

📌 Full-Time Data Analyst (Canada)
🏢 iA Financial Group
📍 Canada