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.

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.”

What will you do?

• 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

What do you need to succeed?

• Bachelor's degree in Statistics, Mathematics, Computer Science, Analytics or related field. Master's degree preferred such as MMA.
• 5+ years of experience preferred ideally in the wealth management or insurance industry.
• Proven track record of delivering impactful insights and driving business outcomes through data analysis,
• Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
• Experience in quantitative analysis, including handling, manipulating, and analyzing data, understanding data structures, algorithms and data pipelines
• Proficiency in SQL for data extraction, manipulation, database schemas, functions, store procedures and complex queries using Python/PySpark for data manipulation.
• Familiarity with data visualization tools such as Tableau, QuickSight or Power BI.
• Experience with AWS Stack (i.e. S3, Glue, Athena, Sagemaker, Redshift)
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.
• Experience working with GitHub or Bitbucket for version control for collaboration and development
• Effective oral and written communication skills
• Ability to work collaboratively on multiple projects and manage stakeholder expectations

What will be nice to have?

• Experience in life insurance/wealth management or financial services industry
• Knowledge of predictive and prescriptive techniques (e.g., regression, decision trees, deep learning, neural networks)
• Knowledge of using statistical analysis methodology techniques and tools with Python or R
• Experience or understanding with Snowflake
• Understanding of advanced data structures such as knowledge graphs

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)

What’s in it for you?

• Great Place to Work® Certified in Canada and the US – 2022
• Great Place to Work® award for Best Workplaces for #HybridWork
• 2022 Named “Best Places to Work” by Glassdoor – 2021
• Canada Award for Excellence for Mental Health at Work 
• 2021 Flexible hybrid work model including in-country work-from-home if you prefer.

#LI-Hybrid #LI-remote

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:

76,000/76 000 - 125,000/125 000

Job Category:

Advanced Analytics

Posting End Date:

01/05/2024