Manager, Data Analytics

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:

Location: Hybrid

Reporting to the Director, Product & Prospr Analytics, the Manager, Data Analytics will lead a team of data analysts and be responsible for the development and delivery of analytical solutions and reporting for the Prospr digital journey, growth, and sales teams. As a key stakeholder to the success of the Prospr team, the Manager, Data Analytics partners closely with our business partners to understand the business and their needs and leverage data (internal and external) to provide high impact analytics and insights to accelerate the growth of the Prospr business.

What you will do

• Work with stakeholders to draw business insights from analytical outputs

• Communicate recommendations and data insights to leadership teams

• Effectively manage multiple workstreams and lead the team to deliver business value

• Establish automated reporting on key performance metrics (KPIs) using Tableau

• Automate, improve, transform existing reporting processes to better meet the needs of stakeholders

• Become a data subject matter expert by working with our IT and business partners across the organization

• Implement best practices in all steps of the analytical process from requirement gathering to analytical outputs and presentations

What you need to succeed

• Undergraduate degree in Mathematics, Computer Science, Engineering or equivalent

• 2+ years experience leading data teams and/or large scale projects

• 5+ years in data analysis, business intelligence and visualization

• Ccommunication and presentation skills

• Experience working in a sales and/or marketing organization

Technical skills

• Data analysis and querying large datasets with SQL (e.g. SQL Server, PostgresSQL, Oracle, Snowflake)

• Data visualization / dashboarding with Tableau or equivalent

• Data analysis and visualization using Excel

• Data analysis with Python (e.g. Pandas, Numpy, Matplotlib, Jupyter Notebook)

• Familiarity with AWS data toolsets (e.g. Glue, Redshift, Sage Maker, etc.)

• Familiarity with Data automation / orchestration (e.g. Airflow, Informatica)

Why join Sun Life

• Being a member of the Sun Life family, a group of people united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

• A friendly, collaborative and inclusive culture

• A collaborative and interactive team environment

• Being part of our journey in developing the next greatest digital experience

• Working together, sharing common values and encouraging growth & achievement

#LI-Hybrid

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:

30/11/2023