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Analytics Engineer Jobs in Quebec (NOW HIRING)

BRP is seeking an Analytics Engineer to join its analytics team and play a key role at the intersection of data engineering, architecture, and business analytics. We are looking for a curious ...

BRP is seeking an Analytics Engineer to join its analytics team and play a key role at the intersection of data engineering, architecture, and business analytics. We are looking for a curious ...

BRP is seeking an Analytics Engineer to join its analytics team and play a key role at the intersection of data engineering, architecture, and business analytics. We are looking for a curious ...

The Role As a Senior Data Engineer, you will be responsible for designing, building, and maintaining scalable data infrastructure that supports analytics, reporting, product development, and ...

The Role As a Senior Data Engineer, you will be responsible for designing, building, and maintaining scalable data infrastructure that supports analytics, reporting, product development, and ...

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Analytics Engineer information

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for analysts and data scientists. Their role often involves collaborating with teams to optimize data workflows and ensure data quality.

What are the key skills and qualifications needed to thrive as an analytics engineer, and why are they important?

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

How does an analytics engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.
What job categories do people searching Analytics Engineer jobs in Quebec look for? The top searched job categories for Analytics Engineer jobs in Quebec are:
Infographic showing various Analytics Engineer job openings in Quebec as of July 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Full-time

Medical, Retirement

Posted 16 days ago


Job description

BRP is seeking an Analytics Engineer to join its analytics team and play a key role at the intersection of data engineering, architecture, and business analytics. We are looking for a curious, rigorous, and impact-driven individual who enjoys building sustainable data solutions while developing a deep understanding of the business challenges they support. In this hybrid role, you will be responsible for transforming raw data into reliable, high‑performing, and actionable analytical models, while working closely with business teams, data engineers, and data architects to deliver concrete and measurable value. YOU'LL HAVE THE OPPORTUNITY TO: Develop and maintain analytical data models used for reports, dashboards, and advanced use cases. Translate business requirements into clear, well-documented data transformations aligned with BRP’s architectural standards. Develop and maintain data transformation pipelines (ELT/ETL) in collaboration with Data Engineering teams. Actively participate in analytical architecture decisions (modeling choices, standards, patterns, semantic layers). Work closely with Data Architects throughout the various stages of data modeling, bringing a data-consumption-oriented perspective and ensuring alignment with analytical needs. Analyze data from various sources (primarily SAP and other enterprise systems) to ensure consistency, quality, and business understanding. Ensure data quality through testing, validation, and anomaly management. Document transformations, models, and business definitions (semantic layer). Collaborate closely with Business Analysts to ensure metrics, KPIs, and definitions accurately reflect operational reality. Contribute to the continuous evolution of the analytics platform, from raw data to consumption layers. Act as a reference point for best practices in analytical modeling and SQL development. YOU’LL THRIVE IN THIS ROLE IF YOU HAVE THE FOLLOWING SKILLS AND QUALITIES: Bachelor’s or Master’s degree in Computer Science, Business Intelligence, Analytics, or equivalent. Strong experience with advanced SQL and data transformations. Solid understanding of dimensional modeling. Very strong knowledge of Power BI best practices (Desktop and Service). Understanding of data architecture concepts and the ability to actively contribute to them. Experience with modern BI environments (e.g., Snowflake - an asset). Experience with dbt (an asset). Experience with SAP or other ERP systems and the ability to interpret their data structures. Comfortable in a hybrid role combining technical expertise and business understanding. Demonstrated ability to explain and simplify complex data concepts to non-technical stakeholders. Strong focus on rigor, data quality, and solution maintainability. Highly organized, able to manage priorities and thrive in a constantly evolving environment. Collaborative mindset with a proactive, continuous-improvement approach. Excellent verbal and written communication skills in both French and English. Experience working in an agile delivery environment. This role is not… A pure Data Engineer role focused solely on ingestion and infrastructure. A Business Analyst role focused exclusively on requirements definition. A BI Developer role focused primarily on report and dashboard production. This is a role at the core of the analytics value chain, driven by business impact, data quality, and technical excellence. ACKNOWLEDGING THE POWER OF DIVERSITY BRP is dedicated to nurturing a culture that invites, connects, and propels the ambitions of people of all backgrounds, profiles, beliefs and experiences. Ultimately, the diversity and uniqueness of our people fuel our ingenuity and set the course for the path ahead! For this reason, we value diversity and we strive to always push each other forward to build an inclusive workplace where every employee feels like they belong, where they can grow and find meaning. AT BRP, WHEN WE TALK ABOUT BENEFITS, WE GO ALL IN. Let’s start with a strong foundation - You want it, we have it: Annual bonus based on the company’s financial results Generous paid time away Pension plan Collective saving opportunities Industry leading healthcare fully paid by BRP What about some feel good perks: Flexible work schedule A summer schedule that varies by department and location Holiday season shutdown Educational resources Discount on BRP products WELCOME TO BRP We’re a world leader in recreational vehicles and boats, creating innovative ways to move on snow, water, asphalt, dirt and even in the air. Headquartered in the Canadian town of Valcourt, Quebec, our company is rooted in a spirit of ingenuity and intense customer focus. Today, we operate manufacturing facilities in Canada, the United States, Mexico, Finland, Australia and Austria, with a workforce made up of close to 17,000 spirited people, all driven by the deeply held belief that at work, as with life itself, it’s not about the destination: It’s about the journey. LI-Hybrid