Operations Analytics Co-op/Intern

Position: Operations Analytics Co-op/Intern

Number of Position(s): 3

Duration: 4 Months (with potential extension for Summer 2027)

Date: January - April 2027

Location: Onsite, Ottawa, ON, Canada

EDUCATIONAL RECOMMENDATIONS

Currently a candidate for a Bachelor's or Master's degree in Engineering, Computer Science, Data Science, Business Analytics, Information Systems, or a related field with an accredited school in Canada.

What you will do:

• Support day-to-day operational activities and process optimization initiatives.
• Analyze operational and business data using Excel and Power BI to develop dashboards, reports, and performance metrics.
• Design and develop demand planning reports using Power BI, Excel, and Power Automate to support staffing forecasts and resource planning activities.
• Build automated reporting solutions that provide actionable insights across regions and user profiles for operational performance reviews.
• Assist in developing and applying AI-based solutions for data analysis, automation, forecasting, and operational optimization.
• Collaborate with engineering, product, and business teams on data-driven projects and continuous improvement initiatives.
• Prepare presentations, reports, and executive summaries to communicate insights and recommendations to stakeholders.
• Maintain documentation and ensure the accuracy, consistency, and integrity of operational data across systems.

You Must Have:

• Knowledge of Artificial Intelligence and Machine Learning concepts gained through coursework, projects, or practical experience.
• Experience using Power BI for dashboard creation, reporting, or data visualization.
• Strong Microsoft Excel skills, including data analysis, pivot tables, and advanced formulas.
• Strong analytical and problem-solving skills with the ability to interpret complex datasets.
• Ability to work independently while collaborating effectively within a team environment.
• Strong attention to detail, organizational skills, and a commitment to data accuracy.
• Excellent communication skills with the ability to present findings clearly to technical and non-technical audiences.

It Would Be Nice If You Also Had:

• Experience with Python, SQL, or similar data analysis and automation tools.
• Familiarity with operational processes and workflows in a technology-driven environment.
• Prior internship, co-op, academic project, or consulting experience related to operations, analytics, business intelligence, or process improvement.
• Experience with Power Automate or other workflow automation tools.
• Exposure to forecasting, demand planning, or business performance reporting.
• Familiarity with AI-driven analytics, automation, or predictive modeling techniques.