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Data Analyst Internship Jobs in Manitoba (NOW HIRING)

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 ...

Collect, analyze, and interpret technical data to support engineering decisions. * Participate in ... Previous co-op, internship, or manufacturing experience is considered an asset. * Curiosity ...

All interns must agree to weekly supervision (required hours as arranged between interns/on-site ... and data reporting. * Conduct client needs assessments to identify and address barriers to ...

Actuarial Intern

Winnipeg, MB · Hybrid

CA$26.53/hr

The salary offered starts at $26.53/hour and varies based on the number of exams and internships ... assess data quality * Statistical Methods * Perform analysis/reviews as assigned * Ensure ...

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Data Analyst Internship information

What is a data analyst internship?

A Data Analyst Internship is a temporary position where interns gain hands-on experience in collecting, organizing, and analyzing data to support business decisions. Interns typically work with large datasets, use tools like Excel, SQL, and Python, and create reports or visualizations. The role helps develop technical skills, analytical thinking, and an understanding of how data-driven insights impact an organization. It is a great opportunity for students or recent graduates to apply theoretical knowledge in a real-world setting.

What typical projects or responsibilities might I have as a data analyst intern?

As a Data Analyst Intern, you'll likely work on tasks such as cleaning and organizing raw data, running analysis to identify trends or patterns, and assisting with the creation of reports and data visualizations for your team. You may collaborate closely with senior analysts or cross-functional teams to support ongoing projects and business initiatives. Interns commonly get exposure to real-world datasets, participate in team meetings, and sometimes contribute to presentations or process improvement efforts. This hands-on experience is designed to help you develop both your technical and analytical skills while gaining insight into the role of data in business decision-making.

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

To thrive as a Data Analyst Intern, you need a solid grounding in statistics, data interpretation, and problem-solving, often backed by coursework or a degree in fields like mathematics, computer science, or economics. Familiarity with tools such as Microsoft Excel, SQL databases, and data visualization software like Tableau or Power BI is highly valuable. Attention to detail, effective communication, and a willingness to learn are essential soft skills for success in this position. These competencies are crucial for accurately analyzing data, drawing insights, and clearly presenting findings to support business decisions.

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 are popular job titles related to Data Analyst Internship jobs in Manitoba?

For Data Analyst Internship jobs in Manitoba, the most frequently searched job titles are:

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

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

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

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

Infographic showing various Data Analyst Internship job openings in Manitoba as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Data Analyst - Winnipeg Office

Bison Transport

Winnipeg, MB • On-site

Full-time

Posted 2 days ago

New


Job description

The Data Analyst is a question-first, shared analytical resource supporting all of Bison's lines of business - Asset, Logistics, Intermodal, and LTL - across our North American operations. The role takes ambiguous commercial and operational questions - why a lane is losing money, where empty mileage is concentrating, what has changed in a customer's freight - and turns them into defensible, data-backed answers using our governed data environment.

This role is distinct from recurring report development and from statistical modelling. Your main purpose will be to translate a vague business question into a scoped analysis and a clear answer. Priorities shift between lines of business month to month, so breadth and the ability to get up to speed quickly on an unfamiliar corner of the business are central to the role. Outputs inform decisions made by operations, commercial, and senior leadership.

Specific Responsibilities include:

  • Translate open-ended questions from operations, commercial, and leadership into scoped, answerable analyses without requiring the question to be fully formed.
  • Write and validate SQL against a governed data warehouse to pull and join the data an analysis requires.
  • Use Python for analysis, transformation, and investigative work beyond what SQL alone supports.
  • Build focused Power BI views where a visual answer serves the audience better than a written one.
  • Support any of Bison's lines of business as priorities dictate, ramping quickly on unfamiliar economics and operational context.
  • Surface data-quality issues explicitly rather than analyzing around them.
  • Scope claims to what the data supports, using ranges over false precision and stating caveats where warranted.
  • Communicate findings clearly to non-technical commercial and operational audiences.

Our Ideal Candidate will possess:

  • 2-5 years in an analytics or data role producing decision-grade work.
  • Strong SQL, including multi-table joins and validating data of uncertain quality.
  • Working Python for data analysis (pandas or equivalent), including scripting one-off investigations.
  • Sufficient Power BI to build and maintain a clean, accurate view.
  • Analytical judgment: distinguishing a rate problem from a mix problem from a data artifact, and stating where certainty is limited.
  • Willingness to learn the distinct economics of each line of business - Asset, Logistics, Intermodal, and LTL.
  • Clear written communication for a commercial and operational audience.
  • Proficiency scripting in Python or R for analysis-clean, correct code, without an expectation of shipping production systems.
  • Fluency with data manipulation (SQL, pandas/dplyr, or equivalent).
  • Ability to reason about uncertainty and clearly state assumptions and their consequences.
  • Demonstrated ability to explain technical work to non-technical audiences.
  • Freight, logistics, or transportation domain experience is considered an asset.
  • Exposure to network, profitability, or margin analysis is considered an asset.

What this role is not:

  • Not a BI/dashboard-development role (that's our Reporting function).
  • Not a data science / statistical-modeling role (that's our Data Science function).
  • Not data engineering - you consume the warehouse, you don't build the pipelines.

NOTE: This position is only available to candidates based in Winnipeg, MB.

This job is classified under NOC Code:21211.


Why Bison:
Thrive in a supportive team that provides coaching and training to help develop your skills and progress your career
Dispersed work environments that promote a healthy work-life balance
Meaningful and impactful work and projects with an essential service provider
Join our engaging Wellness Program & extracurricular sports teams

About Bison:
Celebrating over 50 years in Business
Active in giving back through Corporate Social Responsibility and Charitable Giving
Committed to environmental sustainability

Bison Transport is committed to Diversity and Inclusion in the Workplace.