AWSPySparkPythonSQLTableauRAnalyticsStatistical AnalysisGlueAthenaSageMakerAgileDecision Making
About this role
Role Overview
The Senior Data Analyst will work closely with data engineers, data analysts, and stakeholders in Group Benefits for end-to-end delivery of analysis including project intake, design, analysis, development, and implementation.
Interact with stakeholders to understand the requirements, communicate, and brainstorm solutions
Communicate with cross-functional stakeholders and lead meetings to understand the requirements for the project and periodically update the stakeholders in Group Benefits on the progress
Reformulate highly technical information into concise, understandable terms for presentations
Provide ongoing support to clients to enable adoption of analytical solutions and uncover enhancement opportunities
Help structure the analytical approach and offer insights to solve the business problem
Work with data, including managing large number of data sources, analyzing data quality, and proactively working with Business and IT teams to resolve issues
Use variety of analytical tools (SQL, Python) and techniques (e.g. simulation modeling, regression, decision trees, etc.) to carry out analysis and drive conclusions
Enable visual storytelling through Tableau and visual analytics tools
Automate reporting, enable self-serve analytics, and promote the culture of analytics-driven decision making
Requirements
Minimum undergraduate degree in Mathematics, Computer Science, Engineering or equivalent
3+ years of experience working with data and analytics delivery (i.e., quantitative analysis experience, including handling, manipulating, and analyzing data, hypothesis testing, data modelling and data visualization)
3+ years of experience with SQL.
Hands-on exposure to visualization tools especially Tableau
Experience using oral and written storytelling to share data driven insights in a clear, succinct manner
Strong partnering approach with a commitment to meeting business partners' unique needs and expectations.
Prioritization and planning skills to stay within time/scope of a task in a fast-paced environment
2+ years of experience in Data visualization / dashboarding with Tableau or equivalent
Experience of working with AWS data toolsets (e.g.: Athena, Glue, SageMaker etc.) and knowledge of using Python/PySpark
Statistical analysis and modeling with Python/R
Experience working in agile teams
Experience in Group Benefits and Insurance or Financial Services Industry
Bilingualism (French, English, both oral and written) is required for Quebec only.
Tech Stack
AWS
PySpark
Python
SQL
Tableau
Benefits
Wellness programs that support the three pillars of your health – mental, physical, and financial
The opportunity to move along a variety of career paths with amazing networking potential.
As a hybrid organization, you and your leader use business and Client need to choose where you work, at home or in the office
Diversity and inclusion have always been at the core of our values at Sun Life.