Data Analyst

October 30 2024
Industries Bank, Insurance, Financial services
Categories Bank, Insurance, Financial services,
Toronto, ON | Waterloo, ON • Full time

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:

When you join Sun Life International

Sun Life International is on a transformative journey to become a scalable, nimble, and client-centric organization with a sustainable business model. This role is crucial in meeting both current client expectations and responding to future market demands.

Reporting to the Chief Transformation Officer, the Data Analyst will be responsible for the development and delivery of analytical solutions, use cases and insights for the Sun Life International data journey and future growth. As a member of the Data and Analytics team, the Data Analyst is integral to the success of the team. The Data Analyst partners closely with business partners to understand the business and their needs, and leverages data (internal and external) to provide high impact analytics and insights to accelerate data driven business decisions. The role is responsible to supporting business process innovation, leads the analysis and documentation of business requirements and maintains a portfolio of data and analytics initiatives for Sun Life International.

What you will be doing

  • Lead sessions with the business to gather requirements and get signoff
  • Produce and maintain business requirements documentation, source to target mappings and other data & analytics related documentation
  • Translate business requirements into data and reporting solutions
  • Develop, prioritize and sequence use cases with business stakeholders, and a portfolio of initiatives for the Data and Analytics team
  • Build and maintain strong internal network at all levels of the organization, relationships with other counterparts within the organization
  • Work with stakeholders to draw business insights from analytical outputs, and communicate recommendations and data insights
  • Establish automated reporting on key performance metrics (KPIs) and scorecard metrics using Tableau
  • Become a data subject matter expert by working with technology and business partners across the organization
  • Identify and implement ways to increase user knowledge and the value they derive from dashboards
  • Assist with data extracts and analysis as required to support high priority needs

Who you will be working with

This role is multi-faceted, involving collaboration across various regions, including Ireland, Canada, Bermuda, Asia and the US. The successful candidate will work closely with Sun Life International's teams and leaders across main functions, such as Strategic Delivery, Technology, Product Development, Operations, Finance, Actuarial, Risk, and Compliance. This position requires a versatile and adaptable individual who can navigate the diverse needs and perspectives of stakeholders in different countries and functions to drive the organization's data and analytics objectives.

What we are looking for

  • 5+ years of work experience in a Data Analytics role, preferably in the insurance industry
  • Bachelor's degree in mathematics, statistics, engineering or a related field
  • Experience writing complex SQL queries to analyze data and provide results to business users or stakeholders
  • Comfortable learning new applications and processes quickly with minimal direction
  • Experience using oral and written communication to share data driven insights in a clear, succinct manner
  • Strong partnering approach with a commitment to meeting business partners' needs and expectations.
  • Data visualization / dashboarding with Tableau or PowerBI
  • Data analysis / visualization using MS Excel
  • Data analysis and querying large datasets with SQL (e.g. SQL Server, PostgresSQL, Oracle, Snowflake)
  • Proficiency with other programming languages such as Python, R
  • Strong problem solving and critical thinking abilities. Attention to detail and commitment to data accuracy.
  • Able to exercise judgement, set priorities, assess urgency and provide assessment based on data and analytical reasoning

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.

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:

78,000/78 000 - 128,000/128 000

Job Category:

Advanced Analytics

Posting End Date:

11/11/2024
Apply now!

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