Operations Analytics Co-op/Intern

Job description

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.

Responsibilities

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.

Qualifications

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.