Senior Data Analyst

You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do.
At Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring, and impactful.
When you join Sun Life, you'll work with passionate colleagues and empowering leaders who support your growth and celebrate your contributions, so you can make a meaningful difference in our Clients' lives.
Discover how you can make a difference in the lives of individuals, families and communities around the world.
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?

• Support analytical work from requirements specification, data gathering, analysis to presentations to solve business problems. Be the analytical resource for the RA&S marketing teams
• Develop decision-ready reporting and dashboards that highlight performance drivers, emerging trends, and recommended actions.
• Merge campaign and digital analytics data with back-end source data to highlight our client journeys from beginning to end
• Draw out business insights from analytical output and work with team leads to put together business recommendations
• Put together effective presentations of findings and desire to present to multiple levels of stakeholders
• scalability, and team capacity.
• Leverage internal training, peers and other sources to continue to grow capabilities
  

• 5+ years working with data (i.e., quantitative analysis experience, including handling, manipulating and analyzing data and creating analytical reports)
• Comfortable writing complex SQL queries to extract and integrate data from multiple database sources
• Expert using Python/PySpark to work with data, with the flexibility to use both languages as we transition from one to the other
• Experience working with AWS stack – SageMaker, Glue, Lambda
• Experience with Adobe analytics, data visualization tools like Tableau, Quick Sight or the ability to self-learn these tools in role
• An effective and concise oral and written storytelling and communication skills
• Ability to work as a team to help deliver multiple projects with