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Analytics Engineer Jobs in Quebec (NOW HIRING)

AXIUS GROUP LLC

Aircraft Loads Engineer

Dorval, QC

Experience with aircraft external loads analysis * Experience conducting aircraft loads simulations and analyses * Experience developing and maintaining analytical and simulation models * Experience ...

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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

People Analytics Consultant - People & Culture

TELUS

Montreal, QC • On-site

Other

Posted 5 days 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

Help business leaders make strategic decisions.

Join our team

People Analytics (PA) is a small team with big scope. We are collaborative, enthusiastic problem solvers delivering better people and business outcomes through data that is business informed, business relevant, usable, and actionable. PA is responsible for enabling HR and Business leaders with insights to make evidence-based decisions which support the creation and execution of People and Business strategies. The team needs an individual who is creative, technical, curious, and passionate about using data to drive business results. This is a fast paced, highly rewarding role that makes an impact at TELUS through the ability to change the way we look at people data.

Here's the impact you'll make and what we'll accomplish together

The Senior People Analytics Consultant will use consulting and analytical skills to deliver people analytics and insights to TELUS' Business Leaders and HR to drive people strategy and strategic workforce decisions. The job will be a combination of solving strategic problems and servicing day- to-day data requests (80/20 split).

Key Responsibilities & Accountabilities

  • Lead the integration of new data sources into the analytics ecosystem, with a focus on M&A employee data, to expand capabilities and data coverage across the organization
  • Design and implement a comprehensive data governance framework to establish data quality standards, privacy protocols, and ethical use guidelines for sensitive people data
  • Develop and maintain robust reporting and business intelligence solutions using visualization platforms to provide stakeholders with actionable insights
  • Collaborate with data engineering teams to enhance and evolve the data infrastructure, ensuring scalability and meeting diverse data consumption needs
  • Partner with HR and business leaders to understand their challenges, translate business questions into analytical approaches, and deliver data-driven workforce strategy recommendations
  • Identify and prioritize opportunities to improve data quality and capture additional data sources that enhance analytical capabilities and support strategic decision-making
  • Oversee and deliver critical mandatory and regulatory reporting requirements
  • Act as a steward for data privacy and governance, ensuring the ethical and compliant use of sensitive people data across all analytical workstreams
Qualifications

You're the missing piece of the puzzle

  • 5+ years of experience in data analytics, business intelligence, or related field, with at least 2+ years focused on people/HR analytics
  • Strong analytical and business acumen with demonstrated ability to translate complex data into clear, actionable insights for non-technical stakeholders
  • Proven experience designing and implementing business intelligence and reporting solutions using visualization platforms (Tableau, Looker Studio, or similar)
  • Solid understanding of the HR function and people data, or demonstrated ability to quickly acquire functional expertise
  • Comfortable working with large datasets and merging data from disparate sources
  • Proficiency with cloud-based data warehousing platforms (BigQuery, Snowflake, or similar) and SQL for data querying and manipulation
  • Advanced proficiency with Excel (lookups, complex formulas, data modeling, visualization)
  • Knowledge of data governance frameworks and privacy principles, particularly as they apply to sensitive HR data
  • Excellent communication and stakeholder management skills with proven ability to influence and partner effectively with leaders at all levels
  • Learning orientation and desire to stay ahead of the latest developments in the field of HR reporting, analytics and related technology
  • Ability to navigate ambiguity while being highly adaptable and flexible to changing demands

Great-to-haves

Preference will be given to candidates with some combination of the following:

  • Knowledge of statistical and data analysis tools and methods to conduct or direct analytical work
  • Advanced PowerPoint skills including experience creating compelling presentations that blend data with insights
  • Experience with data integration tools or ETL (extract, transform, load) processes for managing complex data pipelines

Education

  • Bachelor's degree in Business, Finance, Math, HR, Social Sciences, or related field or equivalent experience
  • Language - Bilingual English/French an asset

Advanced knowledge of English is required because you will most of the time interact in English with external parties (clients, suppliers, candidates, external partners, etc.); interact in English with internal parties (colleagues, internal partners, stakeholders, etc.) as part of this position's main responsibilities given its international scope.

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