Senior Data Analyst responsible for analyzing the success of marketing campaigns at Sun Life. Utilize data analytics to support financial security and personalized client engagement initiatives.
Responsibilities
For each campaign, monitor and analyze key performance indicators as well as overall campaign results
Proactively identify challenges to campaign success and work with the agile team to find and implement solutions
Offer proactive feedback, strategic insights and ideas for campaign improvement
Partner with our Analytics team to uncover data driven insights to support the development of marketing strategies for segmented campaigns
Partner with our Analytics team and key stakeholders to support the ongoing segmentation/analysis of the member base to drive/inform targeted campaigns and initiatives in support of the key marketing strategies
Ensure the accurate and timely completion of all campaign reporting, including distribution and review with key stakeholders
Operationalize reporting and related processes to monitor and assess the success of the campaigns
Supporting the development of the marketing strategies through a robust understanding of the competitive landscape and industry
Providing regular campaign performance reviews to identify problems or opportunities
Requirements
Undergraduate in Business, Statistics or Computer Science (or equivalent university degree or college diploma)
5+ years’ experience in a Data Analyst or Marketing Performance Analyst role
3+ years' experience working with SAS or similar tools
2+ years' experience with SQL
2+ years’ experience working with Tableau or other visualization tools
Experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for campaigns
Experience working with and deriving insight from large data sets
Strong analytical and problem-solving skills with the ability to break down high-level data into easily communicated information
Financial or Insurance services product experience and knowledge preferred
Ability to stay organized under conditions of multiple tasks and tight deadlines
Benefits
Competitive salary and bonus structure influenced by market range data
20 days vacation per year and an innovative sabbatical program
A friendly, collaborative and inclusive culture
Being part of our Analytics community, where we share best practices and broaden skill-sets
Flexible Benefits from the day you join to meet the needs of you and your family
Pension, stock and savings programs to help build and enhance your future financial security
Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle
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