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Associate Data Analyst Jobs in Quebec (NOW HIRING)

The Company is powered by approximately 13,000 dedicated and talented associates. Visit us at www ... Data Analysis & Decision Support * Provide stakeholders with actionable, data-driven insights to ...

CA$75K/yr

Job Overview As an Associate for our Pharmacokinetics team at the Senneville location, you will be ... Perform data tabulation, conduct preliminary analyses, and generate summary results while ...

The Associate Configuration Analyst is responsible for ensuring the operational accuracy, readiness ... Track and maintain data accuracy across internal tools such as the roadmap portal and Infinity ...

Academic Associate - Policy Centre for Media, Technology and Democracy (CMTD) | Max Bell School of ... What sets us apart is an end-to-end model - from large-scale data analysis to policy development to ...

Academic Associate - Policy Centre for Media, Technology and Democracy (CMTD) | Max Bell School of ... What sets us apart is an end-to-end model - from large-scale data analysis to policy development to ...

Investment Associate Location: Montreal, Full-Time In-Office Valnet is seeking a highly analytical ... Data analysis tasks: Using tools available (PubInights, GA, etc) to do a deep dive into certain ...

Strong analytical skills, with a proven ability to use data to drive decision-making. Familiarity with tools such as Google Analytics, Excel, and other data analysis platforms. * Excellent verbal and ...

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Associate Data Analyst information

See Quebec salary details

$12

$23

$31

How much do associate data analyst jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for associate data analyst in Quebec is $23.31, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $28.12 per hour, depending on experience, location, and employer.

What are some typical projects an Associate Data Analyst might work on during their first year?

As an Associate Data Analyst, you can expect to work on projects such as cleaning and organizing data sets, creating basic visualizations and reports, and assisting with data quality checks. You'll likely collaborate closely with senior analysts and team members from departments like marketing, finance, or operations to support ongoing analyses or new initiatives. Many entry-level projects focus on transforming raw data into actionable insights, which helps you build foundational skills and gain experience with common tools and methodologies in the field.

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

To thrive as an Associate Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with tools like SQL, Excel, and data visualization platforms (e.g., Tableau or Power BI) is typically required, along with knowledge of basic programming languages like Python or R. Attention to detail, critical thinking, and effective communication are key soft skills for translating data insights into actionable recommendations for stakeholders. These skills ensure accurate data analysis, clear reporting, and informed business decisions, which are crucial for organizational success.

What does an Associate Data Analyst do?

An Associate Data Analyst is responsible for collecting, processing, and analyzing data to help their organization make informed business decisions. They typically work with large datasets, create reports, identify trends, and support senior analysts or data scientists. Their tasks often involve using tools like Excel, SQL, and data visualization software to present findings clearly to stakeholders. This entry-level role serves as a foundation for advancing into more specialized data analysis positions.

What is the difference between Associate Data Analyst vs Data Analyst?

AspectAssociate Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, some certificationsBachelor's degree, often with additional certifications or experience
Work EnvironmentEntry-level, supporting data teams, learning-focusedMore independent, responsible for analysis and reporting
Employer & Industry UsageCommon in tech, finance, healthcare, entry-level rolesWidely used across industries, mid-level position

The main difference between an Associate Data Analyst and a Data Analyst lies in experience and responsibility. Associate Data Analysts are typically entry-level, focusing on supporting data tasks and gaining skills, while Data Analysts handle more complex analysis and decision-making. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and autonomy.

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 Associate Data Analyst jobs in Quebec? For Associate Data Analyst jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Associate Data Analyst jobs in Quebec look for? The top searched job categories for Associate Data Analyst jobs in Quebec are:
What cities in Quebec are hiring for Associate Data Analyst jobs? Cities in Quebec with the most Associate Data Analyst job openings:
Data Lifecycle Management

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.