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Data Analyst Jobs in Quebec (NOW HIRING)

Mission Job Summary Parts Avatar is seeking a highly analytical and detail-oriented Data Analyst to focus on our business operations and accounting metrics. You will be responsible for translating ...

Mission Job Summary Parts Avatar is seeking a highly analytical and detail-oriented Data Analyst to focus on our business operations and accounting metrics. You will be responsible for translating ...

Are you a passionate Data Analyst? Are you looking to work with one of Montreal's top employers? Are you tech savvy with strong business knowledge and skills? Set sail for your future with CSL as a ...

Data Analyst Location: Sherbrooke Employment Type: Full-Time (40 hours) Department: Operations - Engineering - Algorithms About Us SBQuantum is a seed-stage startup at the forefront of magnetic ...

Data Analyst Reports To: Data Science & Analytics Manager Location: Montreal, QC (Hybrid) About Us Broadsign is a growing software company with a mission to make buying, selling, and delivering out ...

Overview Are you a passionate Data Analyst? Are you looking to work with one of Montreal's top employers? Are you tech savvy with strong business knowledge and skills? Set sail for your future with ...

Data Analyst Reports To: Data Science & Analytics Manager Location: Montreal, QC (Hybrid) About Us Broadsign is a growing software company with a mission to make buying, selling, and delivering out ...

One of our clients, a leader in the aerospace sector, is looking for a Data Analytics Specialist to join our Digital Solutions team. In this full-time role, you will contribute to various data ...

One of our clients, a leader in the aerospace sector, is looking for a Data Analytics Specialist to join our Digital Solutions team. In this full-time role, you will contribute to various data ...

Position Summary The HSE Data Analyst supports the Health, Safety and Environment department by collecting, analyzing, and interpreting HSE data to drive informed decision-making, improve performance ...

Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all ...

... Data Analyst with a strong curiosity for consumer behavior and a proven ability to leverage data to drive strategic business decisions. In this role, you will contribute to a wide range of business ...

... Data Analyst with a strong curiosity for consumer behavior and a proven ability to leverage data to drive strategic business decisions. In this role, you will contribute to a wide range of business ...

... Data Analyst with a strong curiosity for consumer behavior and a proven ability to leverage data to drive strategic business decisions. In this role, you will contribute to a wide range of business ...

... Data Analyst with a strong curiosity for consumer behavior and a proven ability to leverage data to drive strategic business decisions. In this role, you will contribute to a wide range of business ...

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Data Analyst information

See Quebec salary details

$12

$34

$59

How much do data analyst jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for data analyst in Quebec is $34.15, according to ZipRecruiter salary data. Most workers in this role earn between $24.52 and $40.87 per hour, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including at 40, as the field values skills like statistical analysis, programming, and data visualization. Many professionals transition into data science or analytics later in their careers by gaining relevant certifications and experience, making age less of a barrier than skill set and continuous learning.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and communicating insights. The role of a data analyst involves critical thinking, domain knowledge, and skills in tools like SQL and Excel, which are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace the role in the near future.

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important in the job search process.

What job does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
What are the most commonly searched types of Data Analyst jobs in Quebec? The most popular types of Data Analyst jobs in Quebec are:
What are popular job titles related to Data Analyst jobs in Quebec? For Data Analyst jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Data Analyst jobs in Quebec look for? The top searched job categories for Data Analyst jobs in Quebec are:
What cities in Quebec are hiring for Data Analyst jobs? Cities in Quebec with the most Data Analyst job openings:

Full-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

We are banking at another level.

Choosing BDC as your employer means working in a healthy, inclusive, and skilled workplace that puts forward the best conditions to bring together unique teams where employees are empowered to act. It also means being at the centre of ambitious economic and financial projects to see further and to do things differently, to fuel the success of Canadian entrepreneurs.

Choosing BDC as your employer also means:

  • Flexible and competitive benefits, including an Employee Savings and Investment Plan where BDC matches part of your voluntary contributions, a Defined Benefit Pension Plan, a $750 wellness and health care spending account, to name a few

  • In addition to paid vacation each year, five personal days, sick days as necessary, and our offices are closed from December 25 to January 1

  • A hybrid work model that truly balances work and personal life

  • Opportunities for learning, training and development, and much more...

Explore the BDC Way in our Culture Book


POSITION OVERVIEW


The Data Analyst is a vital member of the Data Platforms and Tools Team, playing a key role in ensuring the reliability and efficiency of BDC's Enterprise Data Platforms.

You will collaborate with data scientists, data engineers, data governance team, and business data analysts to ensure timely access to high-quality data, enabling advanced analytics and the delivery of actionable business insights.

Playing a key role in the Data & AI value chain, your work will focus on data lineage, data cataloguing, and ensuring quality of data flowing through pipelines from streaming and batch data sources into the Enterprise Data Platforms.

You will also contribute to enterprise-wide best practices, processes, frameworks and libraries that data platform team creates and maintains to create value from data.


CHALLENGES TO BE MET


  • Analyze and document source data to understand structure, lineage, and business relevance.
  • Act as a bridge between data engineers and business or data analysts/data scientists by translating technical data structures into business-friendly formats and preparing mapping documentation.
  • Identify data anomalies, inconsistencies, and gaps; collaborate with data engineers to resolve issues.
  • Develop and maintain data quality dashboards and reports.
  • Support root cause analysis and resolution of data-related incidents.
  • Contribute to the continuous improvement of monitoring and alerting mechanisms.
  • Provide ad hoc data extracts and support for internal users when needed.
  • Engage in the estimation of user stories based on defined Acceptance Criteria, ensuring alignment with data engineering workflows.
  • Participate in the Data Platforms and Tools user community by sharing insights, providing guidance, and promoting best practices.
  • Collaborate with Data Stewards and Data Governance team to ensure compliance with data policies and standards.

WHAT WE ARE LOOKING FOR


  • A bachelor's degree in IT, Computer Science, Statistics, Mathematics, or related fields.
  • 4+ years of industry experience as a Data Analyst.
  • 4+ experience withSQLfor data querying, validation, and transformation.
  • 2+ years of experience using Microsoft Power BI for dashboard development and data visualization.
  • Proficiency with the Databricks platform.
  • Experience with Google BigQuery is a plus.
  • Proficiency with version control systems, primarily Azure DevOps.
  • Basic knowledge of scripting (e.g.,Python) is a plus.
  • Experience with relational database management systems.
  • Experience with data modeling, data warehousing, and data profiling tools and techniques.
  • Familiarity with Agile methodologies and processes.
  • Strong analytical mindset with attention to detail and data accuracy.
  • Ability to interpret complex data structures and communicate findings clearly.
  • Strong interpersonal, communication, and documentation skills.
  • Bilingual (French & English).

Proudly one of Canada's Top 100 Employers and one of Canada's Best Diversity Employers, we are committed to fostering a diverse, equitable, inclusive and accessible environment where all employees can thrive and feel empowered to bring their whole selves to work. If you require an accommodation to complete your application, please do not hesitate to contact us at accessibility@bdc.ca.

While we appreciate all applications, we advise that only the candidates selected to participate in the recruitment process will be contacted.