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Data Analyst Jobs in Quebec (NOW HIRING)

Data Analyst

Montreal, QC ยท On-site +1

CA$64K - CA$69K/yr

Data Analyst Location: Anywhere in Canada (Hybrid and Remote) Reports to: Head of Insights and Engagement Systems Details: Full-Time, permanent position, unionized, four day work week, Monday to ...

Data Analyst

Montreal, QC ยท On-site

CA$64K - CA$69K/yr

Data Analyst Location: Anywhere in Canada (Hybrid and Remote) Reports to: Head of Insights and Engagement Systems Details: Full-Time, permanent position, unionized, four day work week, Monday to ...

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 ...

Clean, transform, structure, and analyze large volumes of data from multiple systems (100,000+ SKUs) * Act as a subject matter expert for Master Data Clerks and contribute to the evolution of best ...

Clean, transform, structure, and analyze large volumes of data from multiple systems (100,000+ SKUs) * Act as a subject matter expert for Master Data Clerks and contribute to the evolution of best ...

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 ...

Be Seen First

Data Analyst - Power BI Purpose: Support our client's Strategic Projects & Operational Excellence team by turning data into actionable insights that improve operational performance, customer ...

Marketing Manager As a Product Data Analyst (6 months contract), you will lead the management of product master data across our ERP, PIM, and digital platforms.You'lljoin a close-knit North American ...

As a data analyst, you collect, process, analyze and use data that comes through different channels. You extract, describe, analyze and interpret the data needed to make informed business decisions.

As a data analyst, you collect, process, analyze and use data that comes through different channels. You extract, describe, analyze and interpret the data needed to make informed business decisions.

Role Overview As a Data Analyst in our Business Intelligence & Analytics team, you will bridge the gap between complex telecom data and strategic execution. Embedded in an agile environment, you will ...

Role Overview As a Data Analyst in our Business Intelligence & Analytics team, you will bridge the gap between complex telecom data and strategic execution. Embedded in an agile environment, you will ...

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 ...

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 ...

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Showing results 1-20

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.

Can I learn a data analyst in 3 months?

A data analyst role requires skills in data manipulation, statistics, and tools like Excel, SQL, and Python or R. While three months can provide a foundational understanding through intensive training or bootcamps, gaining proficiency typically takes longer with consistent practice and real-world experience.

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.

What work 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 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 are top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.

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.

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 August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Data Analyst

GreenPeace

Montreal, QC โ€ข On-site, Remote

CA$64K - CA$69K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 9 days ago


Job description

Job Vacancy: Data Analyst

Location: Anywhere in Canada (Hybrid and Remote)

Reports to: Head of Insights and Engagement Systems

Details: Full-Time, permanent position, unionized, four day work week, Monday to Thursday, 28 hours/week.

Salary: $64,643 - $69,918 CAD per year. This amount will be prorated for partial years of service.

Closing date for applicants: August 28, 2026


ABOUT GREENPEACE CANADA:

Greenpeace Canada is an independently funded, non-profit organization that works towards a greener, more peaceful world, and to confront the systems that threaten people and the planet. We challenge government and industry to halt harmful practices by negotiating solutions, conducting scientific research, introducing clean alternatives, carrying out peaceful acts of civil disobedience and engaging the public. To maintain independence Greenpeace does not accept donations from corporations or governments. Greenpeace relies on individual donors and creative partnerships to fund our environmental justice campaigns.


As an organization, Greenpeace Canada recognizes and supports Indigenous sovereignty and the Land Back movement. We support the United Nations Declaration on the Rights of Indigenous Peoples (UNDRIP) and are committed to collaboration and consultation with Indigenous Peoples to ensure our campaigns and positions respect Indigenous rights and liberation.
Greenpeace Canada is committed to a workplace that is enriched by the people, needs and desires of Canada's diverse communities. We seek candidates with a variety of perspectives and lived experiences to effect change and will prioritize applicants from racialized and other equity-seeking groups.

The responsibilities and skills for this role are outlined below. Greenpeace Canada fully recognizes lived experiences, unpaid credentials, as well as education and work experiences from outside of Canada. If you are interested in this role but feel you do not have all the requirements listed for this position, we highly encourage you to still apply!


ABOUT THE ROLE:

As a member of the Fundraising team and working closely with the Program team, the Data Analyst collects, manages, and analyzes data to achieve fundraising and engagement goals and supports Greenpeace's vision of achieving greater integration of systems and tools across the organization.

Reporting to the Head of Engagement Systems and Insights, the Data Analyst oversees the consistency and integrity of data and performance metrics, monitors and reports on key performance indicators, leads data-related projects, contributes to improving processes or workflows and provides back up on data administration as needed. Working with Greenpeace's data platform and other technical roles across the wider Greenpeace network, the analyst takes available and custom data sources and models and uses them to develop dashboards to sharpen judgment, decision-making, innovation and impact, transforming data into actionable insights for staff.


MAJOR RESPONSIBILITIES

Data architecture and integration

  • Fundraising channels integration: Streamline the data pipelines transferring information to and from external fundraising vendors and channels (telemarketing, digital advertising, lead generation, etc.), ensuring data integrity.
  • Workflow automation: In collaboration with the Data Administrator, map out and maintain automated integrations using iPaaS tools (e.g., Workato, Omatic, Brightvine) to eliminate manual integration.
  • Strategic data capture: Identify gaps in current tracking and collaborate with teams to implement robust data capture methods across all acquisition touchpoints.
  • Data management: Work with the organization's modelled data and semantic layer in the cloud data warehouse (Google BigQuery).
  • Project leadership: Lead data-focused infrastructure projects aimed at improving audience segmentation, pipeline efficiency, and overall fundraising performance.


Dashboards and analysis

  • Dashboard development: Design, build, document and maintain interactive, user-friendly dashboards and BI reports that give fundraising and program teams visibility into their KPIs.
  • Multi-Channel reporting: Aggregate and analyze performance data across fundraising streams (e.g. telemarketing, paid media, lead generation) and engagement platforms. Translate complex data sources into clear, actionable insights to optimize campaign ROI and retention.
  • Strategic decision support: Conduct deep-dive analyses, train teams and present data-backed recommendations to inform both immediate campaign tweaks and long-term fundraising strategies.
  • KPIs: Help standardize, build and maintain the consistency of fundraising, lead generation and engagement metrics to ensure everyone is measuring impact the same way.
  • Audience segmentation & behavior: Build advanced donor and prospect segmentation profiles to track behavioral trends, retention rate, enabling highly-targeted, personalized campaigns across digital ads, telemarketing, email marketing and lead generation.
  • Ad-hoc analysis: Provide analytical support to teams evaluating opportunities or campaigns.

Data operations and documentation

  • Mentorship: Mentor and train team members on data systems and projects.
  • Documentation and process development: Collaborate closely with team members to establish effective processes for new data flows and to optimise processes. Participate in documentation efforts for all data-related projects.
  • Support: Perform other tasks as assigned and provide data administration back-up as needed.


EXPERIENCE AND SKILL REQUIREMENTS

  • Minimum 3 years' experience in a similar role, with experience in complex data work and associated technologies (complex meaning either: large data volume, wide data type variety, velocity of data, or managing automated data pipelines/workflows).
  • Knowledge and/or experience in data analysis using SQL (essential), and ideally also Python.
  • Knowledge and/or experience of Business Intelligence and dashboarding tools (e.g. Looker Studio, Hex, Tableau or Power BI).
  • Comfort working with a modern cloud data platform (ideally Google BigQuery, or AWS, etc) and a shared/standardized data model (such as an Enterprise Data Model). Experience with data architecture and modelling (ELT, dbt) is an asset.
  • Knowledge and/or experience in integration design using iPaaS tools (e.g. Workato, Brightvine, Omatic).
  • Knowledge and/or experience of Customer Relationships Management such as HubSpot, Raiser's Edge or Salesforce.
  • Knowledge and/or experience of UTMs and web analytics.
  • Knowledge and/or experience in fundraising and/or lead generation.
  • Knowledge and/or experience in data analysis and statistical methods.
  • Meticulous attention to detail.
  • A logical approach to work.
  • Ability to prioritize tasks and meet deadlines.
  • Analytical and problem-solving skills.
  • Strong presentation and communication skills.
  • A team player with a strong customer service focus.
  • Fluency in written and spoken English (French fluency is an asset).


DECISION MAKING REQUIREMENTS

The role is responsible for developing processes, identifying and meeting analysis needs within the organization, including for senior management.


SUPERVISORY AND FINANCIAL RESPONSIBILITIES:

  • The position does not exercise direct staff supervisory responsibility.
  • The position has no authority to approve expenditure.
  • The position handles highly confidential supporter information.


BENEFITS:

Greenpeace Canada offers a competitive and values-driven benefits package, designed to support staff well-being and work-life balance: At Greenpeace Canada, we believe people thrive when they are supported, valued, and inspired. Our benefits reflect our deep commitment to care, balance, and collective well-being:

  • Four-Day Work Week - Enjoy a 28-hour work week with full-time pay and benefits, giving you more time to recharge and live your values outside of work.
  • Generous Paid Leave - From vacation and personal days to additional leave options, we prioritize rest, balance, and care for yourself and your loved ones
  • Comprehensive Health Coverage - Robust medical, dental, and vision plans that support your overall health and extend to your family.
  • Growth & Learning Opportunities - Access to ongoing professional development, learning, and skill-building to help you grow in your role and beyond.
  • Values-Driven Culture - Join a compassionate, equity-centered workplace rooted in collaboration, inclusion, and a shared mission to create a more just and sustainable world driven organization committed to equity, inclusion, care, and collective impact.


WORKING CONDITIONS

  • Must be legally authorized and entitled to work in Canada.
  • Comfortable working with colleagues remotely or in a hybrid work environment with the ability to collaborate effectively across multiple international locations.
  • May require extended and irregular hours at times to meet organizational needs.
  • Includes limited domestic and international travel.
  • Physical Effort Requirements - Standard remote office work, involving extended periods of computer use, requiring sustained attention to detail.


Candidates should demonstrate an understanding of, and alignment with, Greenpeace's campaign approaches, including the strategic use of peaceful civil disobedience as a means of achieving environmental and social justice.


APPLICATION PROCESS:

Greenpeace Canada is committed to a recruitment and selection process that upholds Justice, Equity, Diversity, Inclusion, and Safety (JEDIS). We strongly encourage applications from equity-seeking groups, including but not limited to Indigenous, Black, racialized, disabled, and 2SLGBTQIA+ candidates, as well as people with diverse lived experiences and non-traditional career paths. We also welcome applicants who may not meet every listed requirement, recognizing that transferable skills and varied experiences strengthen our team.

We will provide accommodations to applicants with disabilities or other needs at any stage of the hiring process. If you require accommodation or assistance to apply, please email crecruit@greenpeace.org in advance.