Senior 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.
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 Director, Data and Analytics, the Senior Data Analyst will be responsible for the development and delivery of analytical solutions, use cases and insights for the Sun Life High Net Worth data journey and future growth. As a member of the Data and Analytics team, the Senior Data Analyst is integral to the success of the team. The Senior 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.
Responsibilities
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
Ensure all data solutions are standardized, reliable and resilient through robust testing and documentation
Collaborate with IT to ensure data ecosystem meets business and analytical needs
Use statistical methods to interpret data and provide actionable insights
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 ad hoc data analysis as required to support high priority needs
Requirements
The successful candidate will be required to work a modified shift schedule to ensure effective collaboration and communication with team members in Singapore, Ireland and Canada.
5+ years of work experience in a Data Analytics role
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
Data analysis / visualization using MS Excel
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
Nice to Have
Experience applying machine learning, AI or simulation techniques to support business decision-making
Experience with AWS Sage Maker
Knowledge of Insurance or Financial Services industry
Experience working in an Agile environment
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