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Added 38 mins ago
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Sun Life

Senior Data Analyst

Toronto, ON, Canada
Waterloo, ON, Canada
Sun Life Toronto One York, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Oct 13, 2026
Experience: 5+ years working with data (i.e., quantitative analysis experience, including handling, manipulating and analyzing data and creating analytical reports)
Posting language: English
Posted: Oct 5, 2026

Original job description

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

What will you need to succeed?

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 courage in managing expectations of team leaders
Ability to document work
BSc in a statistical, mathematical, or technical field (i.e., computer science)

What will be nice to have?

Experience in life insurance/wealth management, or other financial services industry (e.g., retail banking, credit card, re-insurance and casualty insurance)
Understanding of predictive and prescriptive techniques (i.e., regression, decision trees, deep learning etc.)
MSc preferably in a statistical, mathematical, or technical field (i.e., computer science)
Experience working with unstructured data

Unique Requirements:

This role requires Reliability Status Clearance. In addition to a law enforcement inquiry and a credit check, as part of your application, the Government of Canada will ask if you lived or travelled outside of Canada for 6-consecutive months during the last 5 years, and you must account for all activities during this time. Important: Obtaining Reliability Status Clearance within a reasonable amount of time is a condition required to start employment for this role at Sun Life.
Must be able to satisfactorily complete applicable background checks prior to the start date and during employment, in accordance with Sun Life’s policies and practices.

The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our Clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

Persons with disabilities who need accommodation in the application process, or those needing job postings in an alternative format, may e-mail a request to thebrightside@sunlife.com.

We are proud to be a hybrid organization that offers our employees the choice and flexibility to work from both the office and virtually based on the needs of the business, our Clients and you.

We may use artificial intelligence to support candidate sourcing, screening, interview scheduling.

We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

Salary Range:

85,000/85 000 - 128,000/128 000

Job Category:

Advanced Analytics

Posting End Date:

12/10/2026

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More about this job

Responsibilities

The Senior Data Analyst will lead analytics from business-question definition through data integration, analysis, visualization, and recommendation. They will partner with cross-functional teams to turn complex data into actionable insights that improve marketing performance and the client experience.

Requirements

Candidates must have 5+ years of experience in quantitative analysis, including expert proficiency in SQL and Python/PySpark. A bachelor's degree in a statistical, mathematical, or technical field is required, along with the ability to obtain Reliability Status Clearance.

Skills

SQL
Python
PySpark
Adobe Analytics
Tableau
Quick Sight
Data Visualization
Data Integration
Statistical Analysis
Marketing Analytics
Business Acumen
Storytelling
Communication
AWS
SageMaker
Glue

Benefits

Incentive plans
Hybrid work flexibility

Visa sponsorship

Not detected in the job text

Keywords

Data Analyst
Marketing Analytics
SQL
Python
PySpark
AWS
SageMaker
Glue
Lambda
Adobe Analytics
Tableau
Quick Sight
Data Visualization
Predictive Techniques
Prescriptive Techniques
Regression
Decision Trees
Deep Learning
Life Insurance
Wealth Management
Financial Services
Data Integration
Reporting
Dashboards
Client Journey
Reliability Status Clearance
Hybrid Work
Advanced Analytics

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