Data Analyst, Google Cloud Platform (GCP)# Get ahead, where your talent belongs## Data Analyst, Google Cloud Platform (GCP)Apply: Quebec, Quebec: Montreal, Quebec: Full time: Posted Today: End Date: November 3, 2026 (13 days left to apply): JR10026807##

Job Description
## Job TitleData Analyst, Google Cloud Platform (GCP)### *Internal Title: Data Analyst
* Build the future with usAs a Data Analyst, Google Cloud Platform (GCP), you will play a key role in the design, industrialization, and optimization of modern 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.
This position represents a great opportunity to showcase your skills and fully leverage your potential within a caring and reliable company. Here, people and their development are at the heart of our priorities, fostering an environment conducive to collaboration and innovation. What you will accomplish with usAs a Data Analyst, Google Cloud Platform (GCP), you will be at the core of our mission. Here are your main

responsibilities:
### 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.### Orchestration and Automation
* Design and orchestrate data processing pipelines using Prefect.
* Implement robust, observable,



and resilient workflows.### Code Development and Governance
* Develop in modern environments (VS Code / Cloud Workstations).
* Manage source code using GitHub.
* 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.### Collaboration & Delivery
* Work collaboratively with: Product Owners and Product Managers (PO & PM) Architects, Data Scientists, Business partners
* Translate business needs into robust technical solutions.
* Document solutions and contribute to their continuous evolution.
* Participate in an on-call rotation one week per month, with additional compensation. What could accelerate your success in this roleWe are looking for someone who:
* 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 strong experience with:



BigQuery and cloud analytics environments Distributed processing (Spark / Dataproc)
* Has expertise in pipeline orchestration (e.g., Prefect, Airflow, or equivalent).
* Is comfortable with modern development practices: GitHub, GitHub Actions CI/CD Infrastructure as Code (Terraform)
* Is familiar with microservices-oriented architectures (Cloud Run or equivalent).
* Understands data governance, security, and cloud access management (IAM).
* Demonstrates robust analytical skills and the ability to propose relevant solutions.
* 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* Experience in a production GCP environment
* Knowledge of MLOps/DataOps practices
* Knowledge of investment and financial data (portfolios, transactions, market prices), a major asset
* GCP certification (e.g., Professional Data Engineer) Why you’ll enjoy working with us* An environment focused on innovation and modern data (GCP-first)
* A strong culture of collaboration between IT, data, and business teams
* A setting that encourages continuous learning and experimentation
* 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 **Apply now and take charge

📌 Data Analyst, Google Cloud Platform (Quebec City)
🏢 iA Financial Group
📍 Quebec City