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The salary range shown above reflects the expected compensation for this position. The final salary offered will be determined based on a holistic assessment of the candidate’s experience,…
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Senior Business Analyst
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Technical Support Analyst - L3
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Wiraa

Data Analyst

Canada

Full-time

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Job details

Job type: Full-time
Experience: 5 to 10 years of experience in data engineering, ETL/ELT development, or related fields
Posting language: English
Posted: Oct 29, 2026

Original job description

About The Company

iA Financial Group is a leading financial services organization with a rich history spanning over 125 years. With more than 8,000 employees, we serve over four million clients and 25,000 advisors across Canada and the United States. Our portfolio includes insurance, savings, and wealth management products, and we manage assets exceeding $200 billion. We are committed to technological innovation, investing half a billion dollars to maintain our position at the forefront of the industry. Our success is built on investing in our people, fostering leadership, and nurturing a culture of continuous improvement and innovation. iA Financial Group comprises multiple entities including iA Services financiers, iA assurance auto et habitation, iA Gestion privée de patrimoine, and others, working together to provide comprehensive financial solutions.

About The Role

As a Data Analyst specializing in Google Cloud Platform (GCP), you will be instrumental in designing, industrializing, and optimizing modern data pipelines to support our AI-driven data architecture. This role involves working closely with cross-functional teams to deliver high-impact data solutions that drive business value. You will be responsible for building scalable and secure data pipelines, leveraging GCP services such as BigQuery, Cloud Storage, Dataproc, Cloud Run, and Cloud Workstations. Your role will also encompass pipeline orchestration, code development, automation, and collaboration with data scientists and business stakeholders to enable analytics and AI initiatives. This position offers an excellent opportunity to develop your skills in a supportive environment focused on innovation, quality, and continuous learning.

Qualifications

5 to 10 years of experience in data engineering, ETL/ELT development, or related fields
Degree in computer science, software engineering, or equivalent
Strong knowledge of data modeling concepts such as Data Vault and star schema
Expertise in Google Cloud Platform services, especially BigQuery and distributed processing with Spark/Dataproc
Experience with pipeline orchestration tools like Prefect or Airflow
Proficiency with modern development practices including GitHub, GitHub Actions, CI/CD, and Infrastructure as Code using Terraform
Familiarity with microservices architectures such as Cloud Run
Understanding of data governance, security, and cloud access management (IAM)
Strong analytical skills and solution-oriented mindset
Ability to work autonomously with rigor and focus on quality
Experience working in agile, multidisciplinary teams
Excellent French communication skills, both spoken and written
Intermediate English proficiency for presentations and meetings with stakeholders
Preferred assets: experience in production GCP environments, knowledge of MLOps/DataOps practices, familiarity with investment and financial data, GCP Professional Data Engineer certification

Responsibilities

Design, develop, and maintain secure, scalable, and high-performance data pipelines (ETL/ELT) on GCP
Utilize GCP services including BigQuery, Cloud Storage, Dataproc, Cloud Run, and Cloud Workstations for data processing and storage
Implement modern data lakehouse architectures and orchestrate data workflows using Prefect
Develop code in modern environments and manage source control with GitHub
Implement CI/CD pipelines using GitHub Actions and automate infrastructure deployment with Terraform
Prepare and transform data to support analytics and AI use cases, collaborating with data scientists
Apply DevOps and DataOps best practices including automated testing, pipeline monitoring, and error handling
Ensure data quality, traceability, and governance across data solutions
Collaborate with product owners, architects, data scientists, and business partners to translate business needs into technical solutions
Document data solutions and contribute to their continuous improvement
Participate in an on-call rotation one week per month with additional compensation

Benefits

Innovative and GCP-first data environment
Strong culture of collaboration between IT, data, and business teams
Opportunities for continuous learning, experimentation, and professional growth
Flexible hybrid work environment
Comprehensive benefits including flexible group insurance, competitive retirement plan, employee share purchase plan
Vacation and wellness/personal development days
Access to telemedicine and employee and family assistance programs
Ergonomic equipment program
Performance bonus and discounts on iA products

Equal Opportunity

iA Financial Group is an equal opportunity employer committed to fostering an inclusive and diverse workplace. We welcome applications from all qualified individuals regardless of ethnic origin, nationality, language, religious beliefs, gender, sexual orientation, age, marital status, family situation, or physical or mental disability. We strive to provide a recruitment process that is accessible and supportive to all candidates. If you require assistance during the recruitment process, please contact us for accommodation. We are dedicated to creating a respectful and equitable environment where every employee can thrive.

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More about this job

Responsibilities

Design, develop, and maintain secure, scalable GCP data pipelines and lakehouse solutions, using services such as BigQuery, Cloud Storage, Dataproc, and Cloud Run. Orchestrate and automate workflows, ensure data quality and governance, and collaborate with data scientists and business stakeholders to support analytics and AI initiatives.

Requirements

Requires 5 to 10 years of experience in data engineering, ETL/ELT development, or a related field, along with a degree in computer science, software engineering, or an equivalent qualification. Candidates should have strong GCP, data modeling, orchestration, CI/CD, Terraform, security, and teamwork skills, excellent French communication skills, and intermediate English proficiency.

Skills

Google Cloud Platform
BigQuery
Cloud Storage
Dataproc
Apache Spark
Prefect
Airflow
GitHub
GitHub Actions
CI/CD
Terraform
Data Modeling
Data Vault
Star Schema
ETL/ELT
Data Governance

Benefits

Flexible Group Insurance
Competitive Retirement Plan
Employee Share Purchase Plan
Vacation Days
Wellness and Personal Development Days
Telemedicine
Employee and Family Assistance Programs
Ergonomic Equipment Program
Performance Bonus
Discounts on iA Products

Visa sponsorship

Not detected in the job text

Keywords

Google Cloud Platform
BigQuery
Cloud Storage
Dataproc
Cloud Run
Cloud Workstations
Apache Spark
Prefect
Airflow
ETL/ELT
Data Pipelines
Data Lakehouse
Data Vault
Star Schema
GitHub
GitHub Actions
CI/CD
Terraform
Infrastructure as Code
DataOps
MLOps
Data Governance
Identity and Access Management
Data Quality
Pipeline Monitoring
Automated Testing
Agile
Artificial Intelligence
Analytics
Financial Data

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