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.

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

Job Description :

Reporting to the Manager, Data Analytics, the Data Analyst will 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 Data Analyst 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 will you do?

• Work with stakeholders to draw business insights from analytical outputs
• Communicate recommendations and data insights
• Effectively manage multiple workstreams and drive the team to deliver business value
• Establish automated reporting on key performance metrics (KPIs) using Tableau
• Automate, improve, transform existing data models using Python, SQL and AWS tools (e.g. Glue, Athena, Step Functions)
• Become a data subject matter expert by working with our IT and business partners across the organization
• Identifying and implementing ways to increase user knowledge and the value they derive from our dashboards.
• Assisting with data extracts and analysis as required to support high priority needs.

What will you need to succeed?

• 2+ years of work experience with Python and SQL
• Comfortable learning new applications and processes quickly with minimal direction
• Experience using oral and written storytelling to share data driven insights in a clear, succinct manner.
• Strong partnering approach with a commitment to meeting business partners' unique needs and expectations.
• Data analysis with Python (e.g. Pandas, Numpy, Matplotlib, Jupyter Notebook)
• 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 MS-Excel.
• Experience of working with cloud-based data toolsets (eg : S3, Glue, Athena, Trino etc.)

What will be nice to have?

• Experience in life insurance / wealth management, other financial services industry components (e.g., retail banking, credit card, property and casualty insurance), or distribution (asset).
• A suitable academic background, such as a degree in mathematics, statistics, engineering, computer science, or economics, or equivalent work experience.

Additional Information :

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.

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.

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