Student Quality Engineering Analyst
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Build Quality Engineering analytics experience with Sun Life while exploring Python, SQL, data quality, dashboards, and agentic AI capabilities. This hybrid student role combines learning with practical engineering work.
As a Student Quality Engineering Analyst, you will support QEA 360 data pipelines, analytics, automated testing, and AI-enabled workflows. You will work with engineers and stakeholders across Quality Engineering, Enterprise DevOps, AI enablement teams, and platform partners. The role focuses on reliable insights, responsible AI evaluation, and useful delivery increments.
Key Responsibilities:
- Ingest, validate, and analyze Quality Engineering data from multiple sources
- Support pipeline testing, dashboard validation, and data-integrity checks
- Evaluate agent outputs for accuracy, traceability, and human oversight
- Build dashboards, reports, visualizations, and clear data storytelling
- Document experiments, guidance, demonstrations, and practical recommendations
Requirements:
- Current post-secondary enrollment with graduation planned for April 2027 or later
- Foundational programming or scripting skills in Python, Java, or JavaScript
- Foundational knowledge of SQL, APIs, data structures, or databases
- Interest in data, automation, Quality Engineering, or AI-enabled products
- Clear communication, collaboration, attention to detail, and responsible data practices
Apply your Python, SQL, analytics, and responsible AI interests to practical Quality Engineering work at Sun Life.
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