Job Description
:Role Summary
The RA&S Analytics team partners with business, marketing, distribution, product, and technology teams to turn complex data into actionable insights that improve marketing performance, advisor engagement, sales outcomes, and the client experience. The team is evolving from primarily delivering reporting and analytical support to building scalable data products, automated measurement solutions, and decision-ready insights that enable faster and more informed business decisions.
Reporting to the Manager of RA&S Marketing Analytics, the Senior Data Analyst, you will play a key role in this transformation. You will lead analytics from business-question definition through data integration, analysis, visualization, and recommendation. By connecting marketing, digital, prospect, client, advisor, and sales data, you will help stakeholders understand end-to-end journeys, identify performance opportunities, and translate analytical findings into measurable business actions.
Working collaboratively across RA&S and the broader Data and Analytics community, you will develop trusted reporting and analytical solutions, automate recurring processes, and communicate clear insights to technical and non-technical stakeholders. This role is well suited to someone who combines strong technical capability with curiosity, business acumen, stakeholder partnership, and a passion for solving complex problems.
Sun Life views success in this role related to 4 key characteristics:
Fierce curiosity
. You are drawn to discovering and leveraging new data and taking on challenging business puzzles.
Understanding business
. We’ve got a lot of data, but it’s not going to turn itself into insights, and you can’t help with that unless you understand what the numbers mean.
A passion for solving problems. The most successful data analysts don’t just spin data and give numbers; they solve the problem.
Technical skills
. How to wrangle structured data is a must (i.e., SQL) with strong Python/PySpark skills needed as we migrate from on-prem computing using SAS to cloud based computing using Python. This role will also have a digital analysis component (Adobe Analytics).
What will you do?
What will you need to succeed?
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