Sun Life

Data Analyst (IFRS17)

Job description

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:

  • Finance team would like to build a collaboration team between L&H and W&P to act as the Center of Excellence (CoE) for Tableau and Finance Data. Problem Statement: As data is getting more and complex, the Finance team is looking for a solution(s) to improve efficiency. Immediate Problem: IFRS17 requires up to date data that allows drill down in order to investigate issues. Solution: To leverage technologies such as Python and Tableau to build solutions in order to improve efficiencies, provide insights into data and build automations..


  • Creation and long term maintenance of Tableau dashboards that allows finance teams to analysis data (including IFRS17 reporting) to discover gaps, issues and monitor changes
  • Upkeep of the Tableau and data governance process in order to become Tableau CoE within finance
  • Automate the data massage process by using tools such as Python and SQL before feeding it to Tableau (due to lack of data engineers in SL)
  • Communicate the data analysis clearly to management using different methods (statistical figures, creating new KPIs, data visualization using Tableau) in order to allow management to understand the business and make quicker decisions

Preferred Skills

  • Data analysis experiences for at least 4 years
  • Tableau or other visualization tools for 3 years
  • Knowledge in SQL for 4 years
  • Python writing (data and automation libraries related) for 2 years
  • Preferably knowledge in SAP


  • University graduate (preferably statistics, computer science, data science, data engineering, etc.)
  • Knowledge in Tableau is a must
  • Knowledge in Python is preferred

We offer 5-day work, attractive salary, MPF, group life and group medical insurance; and excellent career development opportunities to the right candidate.

We are an equal opportunity employer and welcome applications from all qualified candidates. Application forms and resume will be kept for a period of 24 months after completion of the recruitment process. (All information will be held in strict confidence and only be used for recruitment purpose).

Job Category:

Advanced Analytics

Posting End Date:


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