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Data Analyst Jobs in Quebec (NOW HIRING)

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 ...

About the role We're looking for a Data Analyst II to join our growing team! Who are we? The Supply Chain team supports Claims by managing key vendor relationships and coordinating services that ...

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 - AI focused in Hardware Manufacturing, Quality & Reliability Role Summary This role sits at the intersection of data analytics, hardware manufacturing, quality & reliability engineering ...

The Personal Services Business Intelligence Department handles data and analytics needs for the Personal Services Executive Division. The department designs and develops data management tools and ...

We are looking for a senior Data Analyst that can be not only an employee of a great team but also a partner in our approaches. So, ifYOUlike challenges, working with high volume of data and ...

Support the Project Management Office (PMO) in its data management tasks, including data transformation, structuring, and analysis. * Ensure the consistency, integrity, and standardization of project ...

Mission Are you passionate about data, analysis, and designing structured BI solutions, and do you want to grow in an environment where data serves as a strategic driver for operations and decision ...

Be Seen First

Review, analyze, and cleanse data from various sources. * Correct incomplete, inaccurate, or duplicate data based on information provided by project team members. * Perform data validation activities ...

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Data Analyst information

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 40, as skills in data analysis, programming, and tools like Excel, SQL, and Python are more important than age. Many professionals successfully transition into data science or analytics later in their careers by gaining relevant certifications and experience.

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 providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts.

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, often requiring strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience in data visualization and reporting tend to have better chances of obtaining such roles.

What job does a data analyst do?

A data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. 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:
Infographic showing various Data Analyst job openings in Quebec as of July 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 66% In-person, 11% Hybrid, and 23% Remote job distribution.

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Job description

Data AnalystReports 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-of-home media easier than ever. Our software is operated by some of the most successful out-of-home businesses and powers impactful, compelling campaigns seen across the world.

About the Role

As a Data Analyst at Broadsign, you will join our Data Science & Analytics team to solve real-world problems and generate significant business impact. You will play a pivotal role in supporting our data-driven product portfolio, working closely with commercial and engineering teams to ensure our clients succeed in the rapidly growing Digital Out of Home (OOH) media channel.

What to Expect
  • Data Operations & Product Performance: You will support daily and monthly data operations while helping to build monitoring and QA processes. This includes learning the methodologies behind our data products and ensuring high performance through detailed reporting.
  • Commercial Support & Problem Solving: Working with commercial team members, you will diagnose and address client-facing data issues. You will be a key collaborator for engineers, data scientists, and business leaders to drive data-driven decision-making.
  • Innovation & Independent Analysis: You will take ownership of independent coding and analysis projects to explore new methodologies. We expect you to contribute creative ideas for new innovations that will help shape our future product roadmap.
What you need to perform in this job
  • Technical Proficiency: Strong experience with SQL and business intelligence tools like Looker or Tableau. You should be comfortable coding in Python and have experience with Snowflake and AWS platforms. Experience with software engineering best practices (CI/CD) and GIS data and systems is a plus, as is experience with web languages/standards.
  • Analytical Mindset: Formal training in data science, including statistical analysis, visualization, and machine learning. Strong problem-solving and critical-thinking skills are critical for this role, as you will be asked to tackle problems that have not been encountered before.
  • Soft Skills: A natural curiosity to learn how things work and quickly embrace new technologies and tools. You must be able to communicate clearly on technical matters and be able to work effectively within a team while taking independent ownership of your tasks.
What we bring to the table
  • Comprehensive Benefits: Complete company insurance plan (health, dental, vision, travel) effective from day one, 100% employer-paid. This includes a $500 annual Health Care Savings Account (HCSA) and unlimited access to the Telus Health virtual platform.
  • Wellness & Fitness: A $500 annual Wellness fund to support your mental/physical health and office-related expenses.
  • Paid Time Off: 3 weeks vacation, 5 floater days, 5 sick/personal days, and 2 volunteer days.
  • Retirement Savings: Group RRSP with 50% employer matching up to 4% of your salary.
  • Financial Perks: Transportation reimbursement for travel to a Broadsign office.
  • Family Support: Parental leave salary supplement, including a 23-week maternity top-up.
  • Growth Opportunities: A dedicated yearly budget for training and professional development.

At Broadsign, we value the varied social identities that make up our community. We recognize talent comes in different forms and encourage applications that reflect different backgrounds and experiences. Our promise is to be an inclusive employer and partner, open to learning, with thoughtful strategies and practices that amplify the different voices of our industry.

Knowledge of French is required for positions permanently located in Quebec so incumbents can communicate with their colleagues and partners in Quebec as necessary. French-language training is offered to all incumbents in permanent positions in Quebec who do not have a good knowledge of French. Fluent English is required for this position in order to communicate with colleagues, clients and partners (or suppliers) located outside Quebec and to understand the technical and scientific documentation used in our industry.