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IT/Tech
Data Analyst, Data Engineering, Business Systems & Technology Analysis, Business Intelligence
Job Description & How to Apply Below
Turn Quality Engineering data into trusted insight at Sun Life using analytics, SQL, Python, dashboards, and automated testing. Work hybrid while developing practical technical skills.
This student analyst role supports QEA 360 data pipelines, metrics, data-quality controls, and visualizations used to understand quality, risk, adoption, and delivery outcomes. You will analyze information from qTest, Jira, delivery pipelines, and operational systems. You will also collaborate across engineering, data, analytics, and platform teams.
Key Responsibilities:- Help define reliable metrics for QEA 360 data and analytics
- Validate dashboards and improve data accuracy and supportability
- Create visualizations explaining trends, platform usage, and improvement opportunities
- Research analytics and Quality Engineering practices for team recommendations
- Share technical notes, user guidance, and reusable demonstrations
- Enrolled in a relevant post-secondary program through April 2027 or later
- Hands-on Python and SQL from coursework, projects, hackathons, or work
- Ability to analyze problems, test assumptions, and explain findings clearly
- Comfort learning unfamiliar tools with experienced team member support
- Experience or familiarity with visualization, business intelligence, APIs, or databases
Develop data analytics expertise through QEA 360 pipelines, dashboards, testing, and stakeholder-focused insights at Sun Life.
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