Senior Data Analyst, Client Experience Insights

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. Discover how you can make a difference in the lives of individuals, families and communities around the world.

Job Description:

Are you a passionate analytics professional looking to leverage your talents to improve the client experience at a major Canadian company? Do you love matching front end to back-end data to understand client journeys and what behaviours lead to what outcomes? If so, Sun Life is looking for a Senior Data Analyst, Client Experience Insights and this might be the next role to develop your analytics career. 

Reporting to the Manager, Data Analytics, the Senior Data Analyst will support the CXO Marketing & Journey Analytics teams in their journeys to become more data savvy. The role will focus on leveraging integrated data from various sources to help stakeholders make key decisions, drive client-centric value and increase our client index scores. You will help the team by, but not limited to, mining data for business insights, analyzing and interpreting trends using statistical tools and techniques, reporting on business performance and merging front end survey and web data to back-end sales data.   

What will you do? 

• Support analytic work from requirements specification, data gathering, analysis to presentations in order to solve business problems. Be the analytic resource for the Marketing & Journey Analytics teams 

• Deliver actionable insights that are easy to interpret and rich with information 

• Merge front end survey and web 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 

• Automate recurring tasks to free up capacity. Find efficient ways of working 

• Leverage internal training, peers and other sources to continue to grow capabilities 

• An active contributing member to the analytics academy to help foster and grow the data science community at Sun Life 

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 with AWS Stack, especially with S3, Glue, Athena, Trino and with BI tools like Tableau and Quick sight. 

• Experience with Adobe analytics 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 statistical, mathematical, or technical field (i.e., computer science), Bachelors in Analytics or MMA 

What will be nice to have? 

• Past 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 

The candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (http://iss-ssi.pwgsc-tpsgc.gc.ca/msi-ism/ch2-prt1-eng.html) ​ 

Must be able to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks) 

What is in it for you? 

• Competitive salary and bonus structure influenced by market range data 

• Entitlement to flexible benefits, pension, stocks, savings and 4 weeks vacation 

• A friendly, collaborative and inclusive culture 

• Being part of our Analytics community, where we share best practices and broaden skill-sets 

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 [email protected].

At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

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

Salary Range:

76,000/76 000 – 125,000/125 000

Job Category:

Advanced Analytics

Posting End Date:

01/04/2024