Operations Analytics Co-op/Intern

Ottawa, ON
Hybrid
Posted Sep 27, 2026
1 position

Opens an external site

Employment type: Internship / apprenticeship, Full-time
Experience level: Entry, Junior · 0+ years
Minimum education: Bachelor’s degree
Posting language: English
Working hours: 40 hours per week

Job summary

You will support operational activities and process optimization by analyzing business data and building automated reporting solutions. You will also collaborate with cross-functional teams to apply AI-based solutions and communicate actionable insights to stakeholders.

Job details

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. Advancing connectivity to secure a brighter world. Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world. Learn more about life at Nokia [https://www.nokia.com/careers/life-at-nokia/]. Our recruitment process We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect. If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity. The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia [https://www.nokia.com/careers/#recruitment-process]. Some of our benefits for students in Canada [https://www.nokia.com/careers/our-locations/canada/students-and-graduates/]: * Flexible and hybrid working schemes to balance work and life * Professional development events and networking opportunities * Campus perks designed to make your student experience enjoyable and social, such as access to an onsite cafeteria, free employee parking, complimentary fitness centre, and sports facilities (volleyball, basketball, pickleball courts, ping pong, and employee leagues) * Well-being programs, including Personal Support Service 24/7 – a confidential support channel open to all Nokia employees and their families in challenging situations * Opportunities to join Nokia Employee Resource Groups (NERGs) and connect with people who share your passions and values * Employee Growth Solutions, mentorship programs, and coaching support for your career development * A learning environment that fosters both personal growth and professional development – for your role and beyond Disclaimer for US/Canada Nokia maintains broad annual base salary ranges for its roles in order to account for variations in knowledge, skills, experience and market conditions, and with consideration to internal peer equity. Check the salary ranges in the job info section for this role. All North America job posts will post for a minimum of 3 calendar days and up to 180 days or until candidate/s identified.

What you’ll do

Requirements

Candidates must be currently pursuing a Bachelor's or Master's degree in a relevant field and possess strong skills in Excel and Power BI. Knowledge of AI and machine learning concepts, along with excellent analytical and communication abilities, is required.