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Data Analyst Jobs in Quebec (NOW HIRING)

Data Analyst

Laval, QC ยท Hybrid

Mission Job Summary Parts Avatar is seeking a highly analytical and detail-oriented Data Analyst to focus on our business operations and accounting metrics. You will be responsible for translating ...

New

Mission Job Summary Parts Avatar is seeking a highly analytical and detail-oriented Data Analyst to focus on our business operations and accounting metrics. You will be responsible for translating ...

Mission Job Summary Parts Avatar is seeking a highly analytical and detail-oriented Data Analyst to focus on our business operations and accounting metrics. You will be responsible for translating ...

New

We are looking for a Principal Data Analyst to serve as a senior individual contributor and trusted thought partner to Product, Engineering, Strategy, Research, and business leaders. You will define ...

Step into your future as a Data Analyst - this is your opportunity to help shape the future of data-driven decision-making at Manulife through the Data Office , a specialized stream within the ...

New

The Data Analyst is accountable for supporting Business Development Client Reporting by providing analytics and insights to Quebec-based Clients. As a Data Analyst, you embrace continuous change and ...

The Data Analyst is accountable for supporting Business Development Client Reporting by providing analytics and insights to Quebec-based Clients. As a Data Analyst, you embrace continuous change and ...

The PLM Data Analyst works closely with business and technical stakeholders to manage product master data, monitor data quality, and help drive continuous improvements in PLM processes and data ...

Master Data Analyst

Montreal, QC ยท On-site

CA$62K - CA$80K/yr

The Master Data Analyst coordinates and performs day to day tasks for the creation, maintenance, and data quality throughout the lifecycle of a material for all Routes to Market, Business Units, and ...

Manage, structure, analyze, and standardize project data to support business and user requirements. * Develop and automate data processes and optimize tools across the Microsoft Power Platform ...

Our Data Business Analysts are responsible for working with business leaders and data consumers to identify reporting and analytical requirements, independently developing business requirement ...

You will join a small but high-impact Data & Analytics team and work across three squads: Hub, where partners sign up, manage their accounts and track performance; Integrations, which connects ...

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.

Collect, clean, and manipulate data from various teams * Conduct in-depth analysis toidentifytrends, patterns, and anomalies * Apply AI and machine learning techniques to develop and evaluate ...

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 ...

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Data Analyst information

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 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 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 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.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

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 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 1% As Needed, 68% Full Time, 19% Part Time, and 12% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Analyst

Fed IT

Laval, QC โ€ข Hybrid

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Hello,
I'm Robin, recruitment and business development consultant at FED IT, a recruitment agency specializing in IT professions.
I work on two types of recruitment: temporary and permanent.
All our consultants are IT experts who speak your language and work in your environment. We cover the IT, development, business intelligence and infrastructure professions.

Mission

Job Summary
Parts Avatar is seeking a highly analytical and detail-oriented Data Analyst to focus on our business operations and accounting metrics. You will be responsible for translating complex financial and operational datasets into clear, visual stories. This role is crucial for tracking company performance and providing our leadership team with the dashboards required to make optimal financial and operational decisions.
Key Responsibilities
Collaborate with the operations and accounting teams to understand their data needs and provide data-driven recommendations.
Design, develop, and maintain key performance indicator (KPI) reports and dashboards using Tableau (or similar tools) to monitor business and financial performance.
Collect, preprocess, and analyze various operational data from diverse sources to identify cost-saving trends, fulfillment patterns, and optimization opportunities.
Assist in data quality initiatives and ensure data integrity across our financial and operational logging systems.
Analyze operational bottlenecks and supply chain costs to generate actionable insights for business improvements.

Your profile

Qualifications
Education
Degree required in a quantitative field, Business Analytics, Accounting, Mathematics, Statistics, Computer Science, or a related discipline.
Technical Skills
Fluency in SQL for data querying, transformation, and manipulation.
Expertise in Python data stack (e.g., Pandas/Polars, NumPy, Matplotlib).
Advanced proficiency in data visualization and reporting.
Extensive, hands-on experience with data visualization tools like Tableau, QuickSight, or similar dashboarding platforms.
Familiarity with the Atlassian suite (e.g., Jira, Confluence) and Git.
Soft Skills
Strong collaborative skills, excellent written and verbal communication, ability to multitask, and manage competing priorities effectively. Critical eye for data quality and data integrity.
Work Authorization
Must be eligible to work in Canada.
Language Requirements
Proficiency in English (spoken and written) is required, as English is the primary working language across teams in Ontario and Quebec. French is considered an asset.
Benefits
Competitive salary.
Performance bonus.
Comprehensive insurance plan.
Hybrid work schedule (3 days in office, 2 days work from home).
Opportunity to work with a dynamic and growing e-commerce leader.
Collaborative and supportive team environment.