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Data Jobs in Quebec (NOW HIRING)

GIRO, Inc.

Junior Data Scientist

Montreal, QC · On-site +1

Data manipulation and transformation Model selection, training, and validation Programming and integration into our software product suite * Documenting and testing developments. * Providing ...

Grizzlytrek Group

Data Migration Lead

Montreal, QC · On-site

CA$45 - CA$75/hr

Data Migration Lead Montreal Quebec | Full-Time Contract Information Technology / PLM and Engineering Data | Senior Level | Project-Based Position Type Full-Time Contract Location Montreal Quebec ...

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Artefact

Sr Data Analyst

Montreal, QC · On-site

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 ...

Andritz

HSE Data Analyst

Pointe-claire, QC · Hybrid

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 ...

Artefact

Senior Data Scientist

Montreal, QC · On-site

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

Intact Financial

Senior Data Scientist

Montreal, QC · On-site

Within the Data Lab, you will work in a modern data ecosystem with multidisciplinary teams (data science, analytics, engineering, product) on high-impact end-to-end use cases (anomaly detection ...

Targeted Talent

Senior Data Scientist

Quebec, QC · Remote

We are looking for an experienced Senior Data Scientist for our client. This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - ...

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Targeted Talent

Senior Data Scientist

Quebec, QC · Remote

We are looking for an experienced Senior Data Scientist for our client. This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - ...

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Lifeworks

Data Conversion Lead

Montreal, QC

The Data Conversion Lead is responsible for coordinating all activities related to the integration of client legacy data into our business solution. To do this, the Lead uses existing methodologies ...

Lifeworks

Data Conversion Lead

Rimouski, QC

The Data Conversion Lead is responsible for coordinating all activities related to the integration of client legacy data into our business solution. To do this, the Lead uses existing methodologies ...

Targeted Talent

Senior Data Scientist

Montreal, QC · Remote

We are looking for an experienced Senior Data Scientist for our client. This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - ...

Apply Early

Targeted Talent

Senior Data Scientist

Montreal, QC · Remote

We are looking for an experienced Senior Data Scientist for our client. This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - ...

Apply Early

Lifeworks

Data Conversion Lead

Quebec, QC

The Data Conversion Lead is responsible for coordinating all activities related to the integration of client legacy data into our business solution. To do this, the Lead uses existing methodologies ...

IATA

Manager Safety Data Analytics

Montreal, QC · On-site

About the team you are joining The Global Aviation Data Management (GADM) team is responsible for the development, implementation and support of data solutions needed to monitor safety, operational ...

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Showing results 1-20

All JobsData JobsData Jobs in Quebec

Data information

See Quebec salary details

$9

$33

$78

How much do data jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for data in Quebec is $33.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $47.36 per hour, depending on experience, location, and employer.

What do data jobs do?

Data jobs involve collecting, analyzing, and interpreting data to help organizations make informed decisions. Roles such as data analysts and data scientists use tools like SQL, Python, or R to process large datasets and generate insights. These jobs often require strong analytical skills and knowledge of data management and visualization techniques.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

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 solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a Data Analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What Are Different Jobs That Work With Data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What is the definition of data?

Data in a data-related job refers to raw, unprocessed facts and figures collected for analysis, decision-making, or processing. It can include numbers, text, images, or other information stored and managed using tools like databases and data analysis software. Understanding data is essential for tasks such as data cleaning, interpretation, and reporting.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and interpreting data to support decision-making, often requiring skills in programming, statistics, and data visualization tools like SQL, Python, or R.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What skills are needed for data jobs?

Data jobs typically require strong analytical skills, proficiency in programming languages such as Python or R, and knowledge of database management and SQL. Familiarity with data visualization tools like Tableau or Power BI and understanding of statistical methods are also important. Additionally, problem-solving abilities and attention to detail are essential for success in this field.

What are the 4 types of data?

In data-related jobs, the four main types of data are structured data, which is organized in databases and spreadsheets; unstructured data, such as emails, videos, and social media content; semi-structured data, like XML or JSON files that have some organization; and metadata, which provides information about other data. Understanding these types helps data professionals manage, analyze, and interpret data effectively using tools like SQL, Python, or data visualization software.

What is data on my phone?

Data on your phone refers to the digital information stored or transmitted by your device, including apps, files, and internet activity. For a data-related job, understanding how data is collected, managed, and secured is essential, often involving skills in data analysis, database management, and cybersecurity. Managing phone data may also require knowledge of mobile operating systems and data privacy practices.

What are the synonyms of data?

For a data analyst or data scientist, synonyms of data include information, figures, statistics, metrics, and records. These terms are often used interchangeably depending on the context and type of data being handled, and familiarity with data management tools like SQL or Excel can aid in working with these concepts.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include roles such as senior investment bankers, hedge fund managers, specialized surgeons, and top executives like CEOs and CFOs. These positions often require extensive experience, advanced degrees, and strong industry networks, with compensation frequently including bonuses and stock options.
More about Data jobs
What are the most commonly searched types of Data jobs in Quebec? The most popular types of Data jobs in Quebec are:
What are popular job titles related to Data jobs in Quebec? For Data jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Data jobs in Quebec look for? The top searched job categories for Data jobs in Quebec are:
Data jobs near you
Infographic showing various Data job openings in Quebec as of June 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $69,346 per year, or $33.3 per hour.
Data Lifecycle Management

Data Lifecycle Management

Jewish Family Service of Colorado

Montreal, QC

Full-time

Posted 26 days ago

Job description

We're seeking someone to join our team as a Data Lifecycle Management (DLM) Specialist in Information Management to work closely with business and technology teams to review new or changing applications, and ensure record retention, disposition, and archiving requirements are met.
In the Legal & Compliance division, we assist the Firm in achieving its business objectives by facilitating and overseeing the Firm's management of legal, regulatory and franchise risk. This is an Associate level position within the Data Lifecycle Management team which is responsible for informing relevant teams on risks and required controls relating to data localization, transfer and use so that they can comply with relevant policies, regulations, and business requirements.
Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
What you'll do in the role:
> Assess data and records retention, archiving, and disposition requirements of systems across all business divisions within the firm.
> Conduct reviews and analysis, including regular meetings with business and technology teams, and manage inbound questions from various business teams.
> Support the identification of risks relating to data management, including retention, disposition, location, and transfer. Work with business, technology and compliance teams to ensure appropriate action plans are in place to mitigate these risks.
> Document accurate and concise data management requirements.
> Support stakeholders in identifying data risk management and operational controls.
> Coordinate and collect information, compile analysis reports and track implementation of recommendations to completion.
> Engage system and business owners in data management activities and aid in problem solving and decision making.
> Prepare team progress reports for manager by summarizing activities and trends. Develop process improvements and foster business and technical solutions with relevant team members. What you'll bring to the role:?
> Industry experience related to information or data management, data storage, data migrations, financial services, or similarly regulated industry.
> At least 4 years' relevant experience would generally be expected to find the skills required for this role
> Experience in business analysis, or in a Financial services operational role.
> Excellent communication skills (verbal and written English).
> High level of attention to detail and ability to document, synthesize, and communicate complex material in a succinct and concise way.
> Strong organizational skills and ability to ensure that specialized topics are correctly addressed, discussed and documented.
> Experience in developing business and functional requirements and applying them to technology systems.
{E What you can expect from Morgan Stanley} [Standard global paragraph preconfigured in all postings]
{F Regional insertions e.g., Wage transparency, EEO, Regulatory etc.} [RECRUITER to insert standard disclosures for location and division where applicable]

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.

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