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Data Analytics Jobs in Quebec (NOW HIRING)

Cogeco

Analyst, BI & Data

Montreal, QC · Hybrid

Key Responsibilities 1. Advanced Analytics & Solution Delivery * Translate Data into Value: Act as a trusted data advisor to internal squads, answering complex business questions regarding subscriber ...

Cogeco

Analyst, BI & Data

Montreal, QC · On-site

Key Responsibilities 1. Advanced Analytics & Solution Delivery * Translate Data into Value: Act as a trusted data advisor to internal squads, answering complex business questions regarding subscriber ...

GreenPeace

Data Analyst

Montreal, QC · On-site

  • Medical

  • Dental

  • Vision

  • PTO

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.

Greenpeace

Data Analyst

Montreal, QC · On-site

CA$64K - CA$69K/yr

  • Medical

  • Dental

  • Vision

  • PTO

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.

GreenPeace

Data Analyst

Montreal, QC · On-site +1

CA$64K - CA$69K/yr

  • Medical

  • Dental

  • Vision

  • PTO

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.

Broadsign Careers

Data Analyst

Montreal, QC · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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-of-home media easier than ...

Amber

Senior Data Analyst (Project Based)

Montreal, QC · On-site +1

Data analytics and statistics courses and diplomas * Knowledge or previous experience of the Gaming industry * Knowledge of Jira, Confluence and SharePoint The Reward: * Competitive project-based ...

BRP

Data Scientist

Montreal, QC · On-site

  • Medical

  • Retirement

Join BRP's central Data & Analytics team (DNA) as a Data Scientist and bring your analytical skills and business insight to our dynamic team. This role is perfect for someone who seeks to blend their ...

BRP

Data Scientist

Longueuil, QC · On-site

  • Medical

  • Retirement

Join BRP's central Data & Analytics team (DNA) as a Data Scientist and bring your analytical skills and business insight to our dynamic team. This role is perfect for someone who seeks to blend their ...

BRP

Data Scientist

Montreal, QC · On-site

  • Medical

  • Retirement

Join BRP's central Data & Analytics team (DNA) as a Data Scientist and bring your analytical skills and business insight to our dynamic team. This role is perfect for someone who seeks to blend their ...

BRP

Data Scientist

Laval, QC · On-site

  • Medical

  • Retirement

Join BRP's central Data & Analytics team (DNA) as a Data Scientist and bring your analytical skills and business insight to our dynamic team. This role is perfect for someone who seeks to blend their ...

Soucy

Mission Are you passionate about data and continuous improvement? We need you! Our catalog includes ... Leverage AI and analytics tools to automate tasks and generate new business insights * Measure the ...

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Showing results 21-40

All JobsData Analytics JobsData Analytics Jobs in Quebec

Data Analytics information

See Quebec salary details

$43K

$100.9K

$153K

How much do data analytics jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data analytics in Quebec is $100,887.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Quebec? The most popular types of Data Analytics jobs in Quebec are:
What are popular job titles related to Data Analytics jobs in Quebec? For Data Analytics jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Data Analytics jobs in Quebec look for? The top searched job categories for Data Analytics jobs in Quebec are:
What cities in Quebec are hiring for Data Analytics jobs? Cities in Quebec with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $100,887 per year, or $48.5 per hour.

Business Data Analyst

Walter Surface Technologies Incorporated

Pointe-claire, QC • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Reporting to: CCO & President of Automation


Join WALTER and help customers work better!

WALTER Surface Technologies is a leader in productivity solutions for the metalworking industry.


Job Summary

The Business Data Analyst supports the governance, execution, and continuous improvement of pricing activities and data-driven decision-making across the organization. The role analyzes sales data, leads pricing initiatives, validates customer and product pricing, and provides actionable insights to Sales, Marketing, Finance, R&D, Customer Service, and IT.

This position requires strong analytical skills, logical thinking, process discipline, and cross-functional collaboration. The ideal candidate is detail-oriented, comfortable working with large datasets, able to translate business needs into structured analysis, and capable of supporting strategic commercial decisions through reliable recommendations and validated assumptions.


Key Responsibilities

  • Manage and prioritize pricing requests from business stakeholders.
  • Analyze customer, distributor, product, net price, discount, and margin data.
  • Prepare, validate, and maintain pricing files for price increases, customer updates, distributor requests, and system uploads.
  • Lead pricing implementation for Canadian and U.S. organizations, including timelines, dependencies, customer files, communications, and system readiness.
  • Develop pricing scenarios and recommendations based on sales, costs, duties, freight, exchange rates, market benchmarks, customer rules, market conditions, and commercial objectives.
  • Investigate and resolve pricing discrepancies, exceptions, missing list prices, customer net price issues, and pricing system errors.
  • Maintain pricing trackers, issue logs, approval records, documentation, and pricing history.
  • Support process mapping and documentation for pricing workflows, including special quotations, SPA/discount processes, price maintenance, price increases, and ERP pricing logic.
  • Collaborate with IT, Finance, R&D, Sales, Marketing, and Customer Service to ensure pricing data is accurate, complete, and properly implemented.
  • Conduct market and distributor analyses using internal data, distributor websites, competitive pricing tools, and external sources.
  • Support leadership through dashboards, reports, presentations, KPIs, and business insights.
  • Identify process gaps, recurring pricing issues, data-quality concerns, and opportunities to improve governance and automation.
  • Document assumptions, data sources, approvals, decisions, and final outputs to improve traceability and reduce recurring errors.
  • Support business analytics platforms including Sigma, ERP systems, Microsoft Dynamics 365, Tecsys, Salesforce, and competitive pricing tools.


Skills & Capabilities

  • Analytical rigor
  • Business acumen
  • Process discipline
  • Data quality
  • Cross-functional collaboration
  • Problem solving
  • Communication
  • Attention to detail
  • Ownership
  • Adaptability


Education & Experience

  • Bachelor's degree in Business, Finance, Data Analytics, Economics, Marketing, Supply Chain, or a related field.
  • 2–5 years of experience in business analysis, commercial analytics, finance, sales operations, or data analysis.
  • Advanced Excel skills, including formulas, lookups, pivot tables, and large dataset management.
  • Experience with ERP, CRM, BI, pricing, or data management systems.
  • Strong ability to analyze SKU-, customer-, distributor-, and product-level data.
  • Experience with pricing implementation, price increases, customer-specific pricing, SPA/discount structures, or margin analysis is an asset.
  • Familiarity with Sigma, Power BI, Tableau, or similar BI tools.
  • Ability to interpret business requirements, validate assumptions, and deliver reliable analysis under tight timelines.
  • Strong documentation, process mapping, issue tracking, and business communication skills.
  • Experience in manufacturing, industrial distribution, B2B sales, or multi-channel distribution is an asset.
  • Full professional proficiency in English is required due to regular interaction with international stakeholders. Professional proficiency in French is a strong asset.