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Internship Data Jobs in Barrie, ON (NOW HIRING)

Internship Data information

See Barrie, ON salary details

$9

$22

$52

How much do internship data jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for internship data in Barrie, ON is $22.56, according to ZipRecruiter salary data. Most workers in this role earn between $13.07 and $22.27 per hour, depending on experience, location, and employer.

What types of projects does a data intern typically work on during their internship?

Data interns often support teams by working on real-world projects such as data cleaning, organizing large datasets, and assisting in data analysis using tools like Excel, Python, or SQL. They may also help visualize data findings, prepare reports, and participate in cross-functional meetings to understand business needs. These tasks provide valuable exposure to the data lifecycle and help interns develop practical technical and communication skills vital for a future career in data roles.

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

To thrive as a Data Intern, you generally need a background in statistics, mathematics, or computer science, along with proficiency in data analysis and problem-solving. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau is often required. Strong attention to detail, eagerness to learn, and effective communication skills help interns collaborate with teams and present findings clearly. These skills are essential for accurately analyzing data, contributing to projects, and gaining valuable experience in a real-world data environment.

What is an internship data role?

Internship data roles are entry-level positions designed for students or recent graduates to gain practical experience in data-related fields. These internships typically involve tasks such as data collection, cleaning, analysis, and visualization under the supervision of experienced data professionals. Interns may work with databases, statistical software, or programming languages like Python or R, and assist in projects that support business decision-making. The goal is to help interns build foundational skills and industry knowledge to prepare them for full-time data careers.

What is the difference between Internship Data vs Data Analyst?

AspectInternship DataData Analyst
Required CredentialsTypically pursuing or recent graduate, some technical skillsBachelor's degree in related field, some roles prefer certifications
Work EnvironmentTemporary, learning-focused, entry-level tasksFull-time, ongoing projects, more responsibility
Employer & Industry UsageInternships offered by companies for trainingFull-time roles in various industries like finance, healthcare, tech

Internship Data positions are designed for students or recent graduates gaining initial experience, often with limited responsibilities. Data Analysts are full-time professionals responsible for analyzing data, creating reports, and supporting decision-making. The internship serves as a stepping stone toward a full Data Analyst role, which requires more skills and experience.

What are the most commonly searched types of Data jobs in Barrie, ON?

The most popular types of Data jobs in Barrie, ON are:

What cities near Barrie, ON are hiring for Internship Data jobs?

Cities near Barrie, ON with the most Internship Data job openings:

Finance Analyst, Manufacturing Performance

Pattison Sign Group

Orillia, ON • On-site

Full-time

Re-posted 6 days ago


Job description

Key Responsibilities

Plant Costing & Overhead Allocation / Indirect Cost Recovery

  • Support monthly plant costing and variance routines by compiling inputs, validating data, and preparing summary reporting.
  • Assist with overhead allocation and indirect cost recovery analysis by gathering data, highlighting exceptions, and documenting drivers.
  • Learn key manufacturing cost drivers (material, labor, overhead) and support follow-ups with plant stakeholders.

Inventory Performance & Control

  • Support inventory performance reporting (accuracy, adjustments, aging, excess/obsolete, shortages) and maintain recurring dashboards.
  • Assist with investigation of inventory exceptions and help document root causes and corrective actions with Inventory Control and plant teams.
  • Support physical inventory preparation and reconciliation activities, including tracking and reporting of issues.

Plant Performance & Advisory Support

  • Maintain and update plant KPI reporting (throughput, efficiency, utilization, quality, service), ensuring consistent definitions and timely delivery.
  • Support plant issue investigations by collecting data and helping quantify financial impacts.

Procurement & Inventory Planning Support

  • Support procurement and planning analytics (supplier trends, lead times, inventory parameters) through reporting and basic insights.
  • Assist in standardizing templates, data sources, and reporting routines to improve consistency and adoption.

Margin Performance (Customer, Product Install & Freight)

  • Support recurring margin reviews by maintaining dashboards, compiling inputs, and assisting with variance follow-up.
  • Partner with stakeholders to document drivers of margin movement and track actions tied to improvement opportunities.

Collaboration & Continuous Improvement

  • Support improvement of reporting processes through automation, template enhancements, and documentation of routines.
  • Ensure data accuracy through validation, reconciliation, and clear audit trails for recurring deliverables.

Required Competencies

  • Strong analytical skills and attention to detail; comfortable working with large datasets.
  • Solid foundation in financial concepts (variance analysis, costing basics, inventory fundamentals).
  • Intermediate-to-advanced Excel skills; exposure to BI tools (e.g., Power BI) is an asset.
  • Clear communicator with the ability to summarize findings and ask the right questions.
  • Organized and able to manage recurring deadlines with guidance and coaching.

Qualifications

  • Bachelor’s degree in Finance, Accounting, Business, or related discipline (CPA preferred).
  • 2–5 years of experience in finance/analytics, manufacturing finance, supply chain analytics, or related roles (co-op/internship experience considered).
  • ERP exposure and strong reporting capability (Excel; BI tools an asset).
  • Manufacturing/operations environment exposure considered an asset.