Student Data Analyst supporting Sun Life’s financial security mission through stakeholder insights and Tableau KPI reporting. Building data analysis skills during a four - month hybrid campus placement.
About the role
- Senior Data Analyst transforming Sun Life insurance and financial-services data into actionable marketing insights. Building SQL, Python, AWS, Adobe Analytics, reporting, and dashboard solutions.
Responsibilities
- Support analytical work from requirements specification and data gathering through analysis and presentations
- Serve as the analytical resource for RA&S marketing teams
- Develop decision-ready reporting and dashboards highlighting performance drivers, emerging trends, and recommended actions
- Merge campaign and digital analytics data with back-end source data to show end-to-end client journeys
- Derive business insights from analytical output and develop business recommendations with team leads
- Prepare effective presentations of findings for multiple stakeholder levels
- Collaborate across RA&S and the broader Data and Analytics community
- Develop trusted reporting and analytical solutions
- Automate recurring processes and build scalable data products and measurement solutions
- Communicate insights to technical and non-technical stakeholders
- Continue growing capabilities through internal training, peers, and other sources
Requirements
- 5+ years working with data, including quantitative analysis, data handling, manipulation, analysis, and analytical reporting
- Comfortable writing complex SQL queries to extract and integrate data from multiple database sources
- Expert use of Python/PySpark for working with data
- Experience with AWS stack, including SageMaker, Glue, and Lambda
- Experience with Adobe Analytics
- Experience with data visualization tools such as Tableau or Quick Sight, or ability to self-learn these tools
- Effective and concise oral and written storytelling and communication skills
- Ability to work as part of a team and manage expectations of team leaders
- Ability to document work
- BSc in a statistical, mathematical, or technical field, such as computer science
- Reliability Status Clearance required before starting employment
- Must satisfactorily complete applicable background checks before the start date and during employment
- Experience in life insurance, wealth management, or other financial services industry is nice to have
- Understanding of predictive and prescriptive techniques is nice to have
- MSc in a statistical, mathematical, or technical field is nice to have
- Experience working with unstructured data is nice to have
Benefits
- Hybrid work arrangement with flexibility to work from the office and virtually
- Incentive plans, with payments subject to individual and company performance
- Accommodation support during the application process
- Internal training and development opportunities
- Support from peers and leaders for professional growth
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