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Data Analytics Jobs in Quebec (NOW HIRING)

Soucy

... analytics tools to automate tasks and generate new business insights Measure the impact of ... Experience in product data management (attributes, hierarchies, substitutions, classifications ...

Soucy

Product Data Analyst

Drummondville, QC · Hybrid

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 ...

Bmo

Analyst Customer Loyalty

Montreal, QC · On-site

CA$45K - CA$84K/yr

  • Medical

  • Life

  • Retirement

Data Analytics & Reporting Understands and articulates the business case of business questions and the estimated value being delivered. Designs dashboards and analyses to be performed, and ...

ABB

Product Data Analyst - 6 months

Dorval, QC · Hybrid

Use SQL and analytics tools to extract, analyze, and structure product-related data. Build reports, dashboards, and data models that support business, marketing, and product teams. * Process ...

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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.

Product Data Analyst

Soucy

Hybrid

Full-time

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

Job description

Mission Are you passionate about data and continuous improvement? We need you! Our catalog includes over 100,000 SKUs, and the quality of the information associated with them is a key driver of our success. Your mission will be to ensure the reliability of this data, identify opportunities for improvement, and develop innovative solutions using AI and Business Intelligence tools to optimize our product data management processes. In this role, you will have the opportunity to: Identify and lead initiatives aimed at improving product data quality and governance 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 practices for creating and maintaining product records (parts, accessories, apparel, variants, technical attributes, and application charts) Develop and maintain dashboards and monitoring tools to measure data quality and process performance Leverage AI and analytics tools to automate tasks and generate new business insights Measure the impact of implemented initiatives and recommend optimization opportunities Actively participate in the evolution of data and processes during ERP transitions and changes to in-house systems Can you see yourself in this role? We can’t wait to hear from you! Apply now. Profile With the following skills and qualities, you will thrive in this role: Bachelor’s degree in Business Administration, Information Technology, Business Intelligence, Mathematics, or a related field Minimum of 3 years of experience in data management within a multi-system environment (ERP) Advanced proficiency in Excel, Power Query, and Power BI Strong ability to analyze large volumes of data with accuracy and attention to detail Excellent analytical and synthesis skills Continuous improvement mindset, proactive attitude, and strong problem-solving abilities Excellent French proficiency; ability to read and understand English for qualitative data processing And these assets will enhance your impact: Experience in product data management (attributes, hierarchies, substitutions, classifications) Knowledge of, or interest in, the powersports industry Interest in process automation and AI applications for data management Benefits designed to take you far! A flexible work program tailored to your needs (flexible hours, compressed workweek, hybrid remote work, and more) Group insurance plans that fit your lifestyle An RRSP with employer contributions to help you build a solid financial future An Employee and Family Assistance Program (EFAP) and access to telemedicine services for a helping hand when you need it A $2,000 referral bonus to help you find colleagues who are as passionate about their work as you are! And even more! Social activities to connect with your colleagues Support for your professional development to advance your career Discounts on our Kimpex products to fuel your passion for motorsports

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