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Data Analytics Intern Jobs in Quebec (NOW HIRING)

BBA, Inc.

QC

Analyze client data to identify root causes of problems and ideas for improvement * Help analyze needs, select technology and solutions proposed to our clients * Participate in commissioning and ...

Caeus

C-GE-951 Software Developer Intern

Montreal, QC · On-site +1

Partake in problem analysis; identification of needs, design, modelling, testing, debugging and ... Data Privacy Privacy Statement | CAE As part of our process, we may use AIsupported tools to help ...

New

UKG Organic

... data into SIRH and/or KPI HR reports. * Participate in the development, customization, and ... Skills and abilities in problem-solving and business analysis. Work culture and environment Are you ...

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$7

$32

$76

How much do data analytics intern jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for data analytics intern in Quebec is $32.08, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $46.15 per hour, depending on experience, location, and employer.

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

To thrive as a Data Analytics Intern, you need a solid understanding of statistics, data analysis, and proficiency in programming languages like Python or R, often supported by coursework in mathematics, computer science, or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and spreadsheet software is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for drawing meaningful insights from data and supporting decision-making processes within an organization.

What are the big 4 internships?

The Big 4 internships typically refer to summer internship programs at Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas like audit, consulting, tax, and advisory, providing valuable experience for aspiring professionals in fields such as data analytics, accounting, and finance.

What are some common challenges Data Analytics Interns face during their internship, and how can they overcome them?

Data Analytics Interns often encounter challenges such as working with large and complex datasets, learning new analytical tools and programming languages on the job, and translating data findings into actionable insights for non-technical stakeholders. To overcome these challenges, interns should proactively seek guidance from mentors, take advantage of available training resources, and communicate regularly with team members to clarify project goals. Developing strong problem-solving skills and being open to feedback also helps interns grow and succeed in the role.

What does a Data Analytics Intern do?

A Data Analytics Intern assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with tools like Excel, SQL, and data visualization software to identify trends, create reports, and support business objectives. Interns often collaborate with data analysts and other team members to gain practical experience and develop their technical skills. Their work may involve cleaning datasets, running basic analyses, and presenting findings to stakeholders.

What is the difference between Data Analytics Intern vs Data Analyst?

AspectData Analytics InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship programs, entry-level tasks, supervisedFull-time, independent project work, more responsibility
Employer & Industry UsageInternships in various industries, training rolesFull-time roles across industries like finance, tech, healthcare
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill development, salary expectations

The main difference between a Data Analytics Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are typically students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as training grounds, whereas Data Analysts are expected to independently analyze data and contribute to decision-making processes.

How to get a data analyst intern?

To become a data analyst intern, candidates should develop skills in data analysis tools like Excel, SQL, or Python, and build a strong understanding of statistics and data visualization. Gaining relevant experience through coursework, projects, or certifications can improve chances, and applying to internships through company career portals or job boards is essential. Strong communication skills and a willingness to learn are also important for securing an internship in this field.

What does a data analyst intern do?

A data analyst intern assists in collecting, cleaning, and analyzing data to identify trends and support decision-making. They often use tools like Excel, SQL, or Python and work under supervision to develop reports and visualizations that help organizations understand their data.

Is AI replacing data analysts?

AI tools are automating certain tasks in data analysis, such as data cleaning and basic reporting, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking and domain knowledge that AI cannot fully replicate, making the profession unlikely to be fully replaced by AI in the near future.
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 Intern jobs in Quebec? For Data Analytics Intern jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Data Analytics Intern jobs in Quebec look for? The top searched job categories for Data Analytics Intern jobs in Quebec are:
What cities in Quebec are hiring for Data Analytics Intern jobs? Cities in Quebec with the most Data Analytics Intern job openings:
Data Analytics Intern jobs near you
Infographic showing various Data Analytics Intern job openings in Quebec as of June 2026, with employment types broken down into 3% Internship, 34% Full Time, 15% Part Time, 6% Temporary, 38% Contract, and 4% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $66,721 per year, or $32.1 per hour.

Intern, Automation Engineering and System Integration - Fall 2026

BBA, Inc.

QC

Other

Posted 4 days ago

Job description

Looking to build your career with us?

Join BBA and become part of a team oftalented people who have a passion for success and determination to deliver thebest for our clients. You'll have the chance to work on stimulating andinstructive projects. You'll be coached by experienced people who are committedto helping their colleagues develop and happy to share their knowledge.

You'll have the opportunity to developwithin the Process Control and Operational Technology (PC&OT) group at the Saguenay office. This group includes the following disciplines: automation,instrumentation, advanced control, industrial computing and telecommunications.Depending on your interests and business opportunities, you'll have the chanceto work on a variety of mandates to explore and develop your knowledge acrossthe group's disciplines, mainly in the mining and metals, renewable energy and pulp and paper sectors.

An overview of possible mandates andresponsibilities

  • Help produce deliverables for an engineering project cycle
  • Program programmable logic controllers (PLCs) and human-machine interfaces (HMIs)
  • Perform SCADA integration and programming work
  • Help configure historians and appraise data
  • Analyze client data to identify root causes of problems and ideas for improvement
  • Help analyze needs, select technology and solutions proposed to our clients
  • Participate in commissioning and testing at client sites

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