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Data Analysis Manager Jobs in Quebec (NOW HIRING)

Aversan

... Supply Management (GPSM). Your primary mission will be to structure, analyze, and automate, while contributing to the development of an LLM-based AI agent to accelerate document analysis, data ...

Soucy

Bachelor's degree in business administration, business analysis, information technology, business analytics, business intelligence, mathematics, or a related field * Experience in data management and ...

Soucy

Bachelor's degree in business administration, business analysis, information technology, business analytics, business intelligence, mathematics, or a related field Experience in data management and ...

Td

Data Associate

Montreal, QC · On-site

CA$59.50K - CA$84K/yr

CUSTOMER * Perform data analysis and assist in assessing data management requirements for a specific Platform or Journey. * Articulate technical design and development details to non-technical ...

Giesecke+Devrient

Senior Data Scientist

Montreal, QC

We are seeking a highly analytical and execution-focused Senior Data Scientist to join G+D's new AI ... managers, and executive stakeholders to unlock enterprise-wide value through data science and ...

Caeus

Aggregate and analyze data to identify trends, root causes, and areas for improvement. Provide actionable insights that help teams prioritize initiatives, optimize training delivery, and enhance ...

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See Quebec salary details

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$87K

$146.5K

How much do data analysis manager jobs pay per year?

As of May 29, 2026, the average yearly pay for data analysis manager in Quebec is $87,044.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $110,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Analysis Manager, you need advanced analytical skills, a strong background in statistics or data science, and relevant experience often backed by a degree in mathematics, computer science, or a related field. Expertise in tools such as SQL, Python, R, and business intelligence platforms, along with proficiency in data visualization software like Tableau or Power BI, is typically required. Leadership, effective communication, and problem-solving abilities are crucial soft skills for managing teams and translating complex data insights into actionable business strategies. These skills and qualities are essential for driving data-informed decision-making and ensuring the success of analytics initiatives within an organization.

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

A Data Analysis Manager regularly partners with teams such as marketing, finance, operations, and IT to identify data needs and translate business questions into actionable analysis. They facilitate communication between data analysts and stakeholders, ensuring that data insights are aligned with organizational goals. By leading cross-functional meetings and presenting findings to non-technical audiences, they help drive data-informed decision-making across the company. This collaborative approach not only enhances the impact of analytics but also fosters a culture of data literacy throughout the organization.

What does a Data Analysis Manager do?

A Data Analysis Manager oversees teams that collect, process, and interpret data to help organizations make informed business decisions. They are responsible for managing data projects, ensuring data quality, and translating complex data findings into actionable insights for stakeholders. Additionally, they often coordinate with other departments, set analytical strategies, and mentor data analysts. Their role is crucial for driving data-driven decision-making in a company.

What is the difference between Data Analysis Manager vs Data Analyst?

AspectData Analysis ManagerData Analyst
ResponsibilitiesOversees data analysis projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to support business decisions
Required SkillsLeadership, project management, advanced analyticsStatistical analysis, data visualization, technical skills
QualificationsBachelor's or master's in data science, statistics, or related field; experience in managementBachelor's in data science, statistics, or related field; technical proficiency
Work EnvironmentTypically in corporate offices, leading teamsOften in office or remote, focused on individual analysis tasks

The main difference between a Data Analysis Manager and a Data Analyst lies in scope and responsibilities. The manager oversees teams and strategic projects, while the analyst focuses on executing data analysis tasks. Both roles require strong analytical skills and relevant qualifications, but the manager's role emphasizes leadership and project management.

What are the most commonly searched types of Data Analysis jobs in Quebec? The most popular types of Data Analysis jobs in Quebec are:
What are popular job titles related to Data Analysis Manager jobs in Quebec? For Data Analysis Manager jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Data Analysis Manager jobs in Quebec look for? The top searched job categories for Data Analysis Manager jobs in Quebec are:
Data Analysis Manager jobs near you
Data Lifecycle Management

Data Lifecycle Management

Jewish Family Service of Colorado

Montreal, QC • On-site

Full-time

Posted 19 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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