Data Analyst - Co-op @ Siemens
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Job Details
About the Role
Change the future with Siemens by joining as a Data Analyst - Co-op. Bring your curiosity, passion, and creativity to make a real impact and help solve significant challenges in data analytics and automation.
Why You’ll Love Working for Siemens
Work in a flexible environment with healthy work-life balance, solve major problems with cutting-edge technology, and enjoy opportunities for career advancement, mentorship, and robust employee perks. Siemens is recognized as a top employer in Canada.
Role Overview
This co-op role is based in our Concord office and reports directly to the Head of Strategic & Lean Transformation for the Winter term (January – May 2026). You will gain hands-on experience by developing automation, dashboards, and reports, while playing a key role in bringing advanced telecommunications products to market.
What Will You Need to Succeed?
- Pursuing a Bachelor’s (3rd or 4th year) or Master’s program in Computer Science, Engineering, Mathematics or a related discipline.
- Proficiency in Python and SQL is a must.
- Experience with PowerBI, and Power Automate is required.
- Exposure to Snowflake/dbt and interface design concepts is an asset.
- Previous experience in data automation projects is advantageous.
About Siemens
Siemens Canada is a leading technology company focused on industry, infrastructure, mobility, and healthcare. With revenues of approximately $2.2 billion CAD in fiscal 2024 and a strong commitment to sustainability and digital transformation, Siemens continues to drive innovations that transform everyday life.
Key skills/competency
- Data Analytics
- Automation
- Python
- SQL
- PowerBI
- Power Automate
- Dashboard Development
- Interface Design
- Data Modelling
- Problem Solving
How to Get Hired at Siemens
🎯 Tips for Getting Hired
- Customize your resume: Highlight relevant data analytics and automation experience.
- Research Siemens: Review their mission and recent innovations.
- Emphasize technical skills: Showcase proficiency in Python, SQL, and PowerBI.
- Prepare for interviews: Practice discussing project challenges and solutions.