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Data Analytics Internship Jobs in Quebec (NOW HIRING)

Your internship starts here. At Raymond Chabot Grant Thornton, we believe in your potential. We ... Participate in preparing analyses and reports by performing various calculations; * Perform data ...

The role combines an analytical component (data, Excel, indicators) with a hands-on, people-focused component, involving interactions with charging station users and internal teams. This internship ...

CA$25/hr

You'll have exposure to data analysis, customer strategy, category planning, and business development projects that directly impact the business. Internship opportunities may sit within: * Customer ...

Internship dates: From August 31 st to December 18th 2026 By joining CAE's Global Tax function, you ... Use Excel and structured data to support tax calculations, analyses and compliance processes

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Data Analytics Internship information

See Quebec salary details

$21K

$86.1K

$175K

How much do data analytics internship jobs pay per year?

As of Jun 12, 2026, the average yearly pay for data analytics internship in Quebec is $86,112.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,500.00 and $124,000.00 per year, depending on experience, location, and employer.

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

AspectData Analytics InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some roles prefer certifications
Work EnvironmentEntry-level, learning-focused, often part-time or temporaryFull-time, professional setting, more responsibility
Employer & Industry UsageInternships offered by companies across industries for trainingFull-time roles in various industries, more specialized
Search & Comparison IntentLooking for entry-level opportunities or internshipsSeeking full-time data analysis roles

The main difference between a Data Analytics Internship and a Data Analyst role is experience level and responsibility. Internships are designed for students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as a stepping stone toward a full Data Analyst career.

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 grasp of statistics, data analysis, and familiarity with programming languages like Python or R, often supported by coursework in data science or related fields. Experience with data visualization tools (such as Tableau or Power BI), SQL databases, and proficiency in Excel are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns stand out in collaborative, data-driven environments. These skills are crucial for transforming data into actionable insights and supporting decision-making processes within organizations.

What is a Data Analytics Internship?

A Data Analytics Internship is a temporary position, often for students or recent graduates, that provides hands-on experience working with data to identify trends, create reports, and support decision-making within an organization. Interns typically assist with data collection, cleaning, analysis, and visualization, using tools like Excel, SQL, Python, or specialized analytics software. The internship offers practical exposure to real-world business problems and helps interns develop critical technical and analytical skills valuable for a future career in data analytics.

What types of projects do Data Analytics Interns typically work on during their internship?

Data Analytics Interns often work on projects involving data cleaning, exploratory data analysis, and visualization to support business decisions. They may assist in creating dashboards, conducting statistical analyses, or helping to automate data collection processes. Interns frequently collaborate with data analysts, engineers, or business teams to understand project goals and contribute meaningful insights. These projects help interns gain practical experience with industry-standard tools like Excel, SQL, Python, or Tableau, while learning to communicate findings effectively within a team setting.
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 job categories do people searching Data Analytics Internship jobs in Quebec look for? The top searched job categories for Data Analytics Internship jobs in Quebec are:
What cities in Quebec are hiring for Data Analytics Internship jobs? Cities in Quebec with the most Data Analytics Internship job openings:

Other

Posted 22 days ago


Job description

As the trade association of the world's airports, Airports Council International (ACI) offers a unique opportunity for internships, allowing you to immerse yourself in the dynamic and globally significant aviation industry where you can gain valuable insights and practical experience.

Interning at ACI World not only enhances your resume, but also equips you with essential skills, knowledge, and connections in aviation or related fields.

You will be positioned in the Airport as Business team (AAB)

Job Description Data Quality Intern

Position: Data Quality Intern

Duration: 3 months

Schedule: Full-time (5 days per week)

Work Arrangement: Hybrid (minimum 10 days per month in office)

Reporting to: Manager Airport Economics

Role Overview:

The Data Quality Intern will support the Airport as a Business team in accelerating the readiness of migrated historical economics data within the ACI Data Hub. This role focuses on performing data corrections and validation activities to restore the integrity, consistency, and usability of datasets for time series analysis.

The intern will contribute directly to improving the quality and completeness of the historical database, enabling the team to resume critical analytical work in preparation for major industry events and reporting needs.

Key Responsibilities:

  • Perform manual data entry, corrections, and updates to historical datasets
  • Review, clean, and validate data to ensure accuracy and consistency
  • Identify, investigate, and resolve data discrepancies
  • Support data quality improvement initiatives and processes
  • Assist in structuring and preparing datasets for time series analysis
  • Document data corrections and workflows to ensure traceability
  • Collaborate with team members to meet project timelines and data readiness objectives
  • Perform other related tasks as assigned

Qualifications:

  • Currently enrolled as a university student in a relevant field (e.g., Economics, Mathematics, Finance, Accounting, or related discipline)
  • Fluent in English (written and spoken)
  • Proficiency in Microsoft Excel
  • Strong attention to detail and high level of accuracy
  • Good organizational and time management skills
  • Ability to work independently and as part of a team

Nice to Have:

  • Proficiency in additional languages
  • Basic knowledge of SQL for data querying and validation