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Data Analyst Intern Jobs in Manitoba (NOW HIRING)

Sapsol Technologies Inc

Data Analyst

Winnipeg, MB · On-site

Analyze legacy PHP applications with embedded SQL to understand system logic * Reverse engineer reports to identify data sources, dependencies, and requirements * Develop SQL queries and data ...

Wawanesa Insurance

Actuarial Intern

Winnipeg, MB · Hybrid

CA$26.53/hr

Job Overview Working with a high degree of autonomy, the Actuarial Intern contributes to and ... assess data quality * Statistical Methods * Perform analysis/reviews as assigned * Ensure ...

New Flyer

Engineering Intern - Fall Term

Winnipeg, MB · On-site

POSITION SUMMARY: As an Engineering Intern, you'll gain hands-on experience in a complex ... Collect, analyze, and interpret technical data to support engineering decisions. * Participate in ...

Volunteers of America Northern Rockies

Intern (Unpaid) - Rapid City Classification: Non- Exempt Reports to: Program Director/Licensed ... and data reporting. * Conduct client needs assessments to identify and address barriers to ...

All JobsData Analyst Intern JobsData Analyst Intern Jobs in Manitoba

Data Analyst Intern information

See Manitoba salary details

$5

$19

$26

How much do data analyst intern jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for data analyst intern in Manitoba is $19.42, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $20.19 per hour, depending on experience, location, and employer.

What does a data analyst intern do?

A Data Analyst Intern supports data analysis projects by collecting, cleaning, and organizing data. They use tools like Excel, SQL, or Python to analyze datasets and help generate reports or visualizations for business insights. Interns often work under supervision, assisting with ongoing projects and learning industry best practices, which helps them gain valuable experience in data analytics and business intelligence.

What types of projects and tasks can a data analyst intern expect to work on during their internship?

As a Data Analyst Intern, you can expect to work on a variety of projects such as cleaning and organizing datasets, creating data visualizations, and supporting the analysis of business trends. You'll often be asked to assist in preparing reports, updating dashboards, and collaborating with team members from departments like marketing, finance, or product management. This hands-on experience provides exposure to real-world data challenges and the opportunity to develop technical skills using tools like Excel, SQL, or Python, while also learning how data-driven decisions are made within the organization.

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

To thrive as a Data Analyst Intern, you need a solid understanding of statistics, data analysis, and proficiency in Excel or similar spreadsheet tools, often supported by coursework in data science or related fields. Familiarity with data visualization software like Tableau, and programming languages such as SQL or Python, is commonly expected. Strong attention to detail, problem-solving skills, and the ability to communicate findings clearly are standout soft skills for this role. These skills enable interns to extract actionable insights from data, support decision-making, and contribute meaningfully to business objectives.

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

AspectData Analyst InternData Scientist Intern
Required CredentialsTypically pursuing or recent graduate in data-related fields; basic knowledge of SQL, Excel, and data visualizationOften pursuing or recent graduate in data science or related fields; knowledge of programming (Python, R), machine learning, and statistical modeling
Work EnvironmentEntry-level, supporting data analysis tasks, reporting, and visualizationMore advanced projects involving predictive modeling, algorithms, and complex data analysis
Employer & Industry UsageCommon in tech, finance, marketing, and consulting firmsFound in tech, research, and analytics-driven industries

The main difference between a Data Analyst Intern and a Data Scientist Intern lies in the complexity of tasks and required skills. Data Analyst Interns focus on data cleaning, visualization, and reporting, while Data Scientist Interns handle advanced modeling and machine learning. Both roles are valuable entry points into data careers, with the Data Scientist Intern position typically requiring more technical expertise.

Is a data analyst internship worth it?

A data analyst internship provides practical experience with data analysis tools like Excel, SQL, and visualization software, which can enhance employability and skill development. It offers exposure to real-world projects and networking opportunities, making it valuable for those pursuing a career in data analysis.

What are the most commonly searched types of Data Analyst jobs in Manitoba?

The most popular types of Data Analyst jobs in Manitoba are:

What job categories do people searching Data Analyst Intern jobs in Manitoba look for?

The top searched job categories for Data Analyst Intern jobs in Manitoba are:

What cities in Manitoba are hiring for Data Analyst Intern jobs?

Cities in Manitoba with the most Data Analyst Intern job openings:

Data Analyst Intern jobs near you
Infographic showing various Data Analyst Intern job openings in Manitoba as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $40,402 per year, or $19.4 per hour.

Data Analyst

Sapsol Technologies Inc

Winnipeg, MB • On-site

Contractor

Re-posted 7 days ago

Job description

You will support a critical operational reporting and data initiative within a university environment. This role focuses on modernizing legacy reporting systems, improving data access, and enabling better decision-making across faculties and departments.

Responsibilities

  • Analyze legacy PHP applications with embedded SQL to understand system logic
  • Reverse engineer reports to identify data sources, dependencies, and requirements
  • Develop SQL queries and data extracts to support reporting needs
  • Redesign and migrate reports to new data sources (Data Warehouse/Data Lake)
  • Build and enhance PHP applications with supporting JavaScript
  • Document data structures, workflows, and reporting logic
  • Collaborate with stakeholders to validate business requirements
  • Perform data validation and testing to ensure accuracy and performance
  • Produce migration specifications and technical documentation
  • Support deployment and transition of reports to production

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