Want to get hired at Sun Life?
Senior Data Analyst
Sun Life
Toronto, Ontario, CanadaOn Site
Original Job Summary
Overview
The Senior Data Analyst at Sun Life is a unique opportunity to work alongside experts in data science, engineering, and analytics. You will be a critical part of a team supporting Sun Life Canada’s individual insurance business with innovative business intelligence solutions.
Key Responsibilities
- Design and facilitate workshops to gather user needs and test BI dashboard designs.
- Create compelling dashboard designs with sketches, wireframes, and final iterations.
- Develop metrics and KPIs for analytical and data products.
- Collaborate with cross-functional teams including Distribution, Pricing, Operations, and IT.
- Assist in migrating BI and Insights data foundation to the Enterprise Data Lake Project.
- Deliver end-user training and provide technical support as required.
- Perform voice of customer feedback analysis to improve solutions.
Requirements
- 4+ years in data analytics focused on business intelligence.
- 3+ years specializing in data visualization and dashboard design.
- Experience with Tableau (minimum 2 years) and SQL.
- Knowledge of programming languages such as Python or R is advantageous.
- Excellent communication and teamwork skills.
- Insurance or financial service experience is a plus.
- Eligibility for Canadian Reliability Security Clearance is required.
What’s in It for You?
At Sun Life, you will benefit from a supportive hybrid work environment, flexible benefits, pension and savings programs, and the chance to impact lives by contributing to financial security and healthier living for clients. Join a diverse team where your unique perspective is valued and your career can thrive.
Key skills/competency
- Data Analytics
- Business Intelligence
- Dashboard Design
- Data Visualization
- SQL
- Tableau
- Workshop Facilitation
- Data Migration
- Customer Feedback
- Collaboration
How to Get Hired at Sun Life
🎯 Tips for Getting Hired
- Research Sun Life's culture: Study their mission, values, and recent achievements.
- Customize your resume: Highlight BI, SQL, and Tableau experience.
- Emphasize project results: Quantify data analytics impact in past roles.
- Practice case studies: Prepare for technical and business scenario questions.
📝 Interview Preparation Advice
Technical Preparation
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Review SQL and complex queries.
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Practice Tableau dashboard building.
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Refresh programming basics in Python.
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Study data migration principles.
Behavioral Questions
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Describe a challenging data project.
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Explain handling conflicting stakeholder needs.
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Share experience in workshop facilitation.
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Detail your teamwork under tight deadlines.