Senior Data Analyst

at  Sun Life

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 seasoned analytics professional with a passion for driving insights in the wealth and insurance industry? Join our dynamic Data & Analytics team at Sun Life within the CXO (Client Experience Office) to support our Wealth & Insurance business unit. As a Senior Data Analyst, you will play a critical role in extracting actionable insights from complex datasets, while enabling data-driven decision-making and enhancing our understanding of client needs and behaviors, by developing actionable insights through advanced analytics and visualizations.
You will be working with a dedicated team of energetic, forward-thinking innovators, that will stretch your imagination and sharpen your skills on leading-edge projects and technology that are keeping Sun Life Financial ahead of the curve. You want more than a job; you want a career with a company that encourages learning and personal growth. You want to be “one of the best.”

UNIQUE REQUIREMENTS?

• The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)
• To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

• Collaborate with cross-functional teams to identify data requirements and opportunities for analysis within the Wealth & Insurance business unit.
• Utilize advanced analytical techniques to extract, clean, and manipulate large datasets from various sources, including customer transactions, financial records, 3rd party and market data.
• Design and implement dashboards, reports, and visualizations to communicate insights through story telling effectively to key stakeholders.
• Conduct ad-hoc analysis and data investigations to address business questions and uncover actionable insights.
• Stay up to date with industry trends and best practices in data analysis, storytelling through visualization, data visualization tools, machine learning, and predictive modeling.
• Mentor junior analysts and collaborate with team members to enhance analytical capabilities and drive continuous improvement.
• Document work processes, methodologies and deliverables using Confluence to ensure transparency and facilitate knowledge sharing within the team