ZipRecruiter

Log In

1

Analytics Engineer Jobs in Quebec (NOW HIRING)

R2i

IBM i Senior Programmer Analyst

Montreal, QC · On-site +1

Keep reading and you'll see, the IBM i Analyst Programmer position could be just the job for you! \n \n \n \n \n \n Summary \n \n \n Reporting to the IBM i Development Director, the Senior IBM i ...

R2i

IBM i Senior Programmer Analyst

Montreal, QC · On-site +1

Keep reading and you'll see, the IBM I Senior Analyst Programmer position could be just the job for you! \n \n \n \n \n \n Summary \n \n \n Reporting to the IBM i Development Director, the Senior IBM ...

next page

Showing results 1-20

All JobsAnalytics Engineer JobsAnalytics Engineer Jobs in Quebec

Analytics Engineer information

See Quebec salary details

$62.5K

$109.1K

$178K

How much do analytics engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for analytics engineer in Quebec is $109,135.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $122,500.00 per year, depending on experience, location, and employer.

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 business insights.

What engineers make $500,000?

Senior-level engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.

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.

What is the average salary of an analytics engineer?

The average salary of an analytics engineer typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with skills in SQL, Python, and data visualization tools tend to earn higher salaries, especially in larger organizations or tech hubs.

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 big data salary?

The salary for an Analytics Engineer working with big data typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals skilled in tools like Hadoop, Spark, and SQL tend to earn higher salaries, especially with certifications and advanced technical expertise.

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:
Analytics Engineer jobs near you

Senior Data & Analytics Engineer - Proactive Assurance

TELUS

Montreal, QC • On-site

Other

Posted 21 hours ago

TELUS rating

8.0

Company rating: 8.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

18th of 79 rated telecommunications companies

Job description

Description

Join our team

This is an exciting opportunity to join the Proactive Assurance Team within Consumer Products and Services. We are a dynamic, fast-paced, and entrepreneurial team driven to delight our customers with proactive solutions affecting Internet, TV and Home Security customers across Canada. We are the destination of choice for team members that enjoy solving complex problems in a fast paced environment that have a large impact on our Customers.

You will join a team supporting highly visible proactive programs and owning the heart of the operation that orchestrates our digital messaging. Strong leadership and communication skills is key to this role as we manage over 40 active campaigns on track for 2 million digital interactions this year.

What you'll do

As a Data management team member on the Proactive Assurance team within Consumer Products and Services, you will play a pivotal role in owning the operations and orchestration of our daily campaign operations. Our ability to monitor the health of our program, as well as priming our reporting dashboards lies in your hands! Your ability to coordinate between campaign leaders, key stakeholders and technical teams will be essential in ensuring the successful execution of projects that deliver tangible value to the organization. You will leverage your expertise in data science, data engineering, telecom infrastructure and home networking to provide insights that increase operational efficiency and drive continuous improvement, ultimately realizing value for TELUS.

  • Manage the day to day operations of all proactive campaigns including our refresh, validation and filtering process, ensuring our messages (SMS, RCS, e-mail or push notifications) are successful every day
  • Push to enhance our digital mediums - how we engage our customers -> own the roadmap, delivery and execution through close partnership with key stakeholders
  • Lead the development and maintenance of data analytics dashboards for the Proactive Assurance
  • Own our metrics! Churn, dispatch rates, customer engagement, customer interventions, proactive reach are just a few
  • Data engineer pipelines to clean data and prepare for visualization
  • Access telemetry data from our network elements and analyze the customer impact of those metrics.
  • Partner with Data Science to development, validation, and deployment of AI/ML models for proactive support of customers experiencing network issues
  • Use exceptional SQL skills to integrate data across many systems
  • Create actionable insights and reports to support strategic decision-making
Qualifications

What you bring
 

  • Advanced expertise in data analytics and visualization tools (Tableau, Looker, Carto)
  • Using AI tools to analyze and present data (Claude, Gemini, ChatGPT, ..)
  • Advanced expertise using SQL
  • Experience with spatial SQL (Big Query, Postgre)
  • Experience building data procedures and scheduling and orchestrating data pipelines
  • Expertise in programming languages (Python)
  • Experience in Data Architecture and Data Warehousing
  • Strong understanding of telecom network and home networking
  • Knowledge of cloud platforms (Google Cloud, AWS, Azure)
  • Experience with source control (GitHub)
  • Experience with AI/ML model development and deployment
  • Strong project management and stakeholder communication skills
  • Advanced degree in Data Science, Computer Science, or related field

Apply