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Student, Data Analyst (Fall 2024)

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Sun Life


14d ago

🚀 Off-cycle Internship

Waterloo +1

⌛ Closed
Applications are closed

Off-cycle Internship

Data•Waterloo, Toronto


  • The Data Analyst Co-op/Intern will work closely with the Data Governance team to ensure Sun Life’s data is recognized as a valuable asset to serve the needs of its employees and clients. The Data Analyst will work on innovative solutions to assist collecting and publishing metadata, data profiling and analysis, and reporting on data quality through Data Health reports, Data Quality score-carding, and dashboards. 


  • Good understanding of data management and analytics
  • Ability to develop and create data integration solutions.
  • Excellent interpersonal and communications skills necessary to work effectively with all levels of the organization as well as geographically disbursed teams.
  • Developed ability to think strategically and execute tactically.
  • Demonstrate excellent analytical and logical thinking.
  • Ability to work independently as well as in team environment providing structure in ambiguous situations
  • Highly motivated self-starter, driven for results, effective at prioritizing and managing multiple initiatives
  • Education and Experience:
  • Pursing a degree, diploma or certificate with concentration in data analysis or data management
  • Metadata management
  • Data quality analysis
  • Data integration
  • Data modeling and lineage
  • Systems & Technology:
  • Microsoft Office (Excel, Word, PowerPoint)
  • Advanced Microsoft Excel – Macros, Vlookup, Pivot Tables
  • Metadata Management (i.e. Informatica or Collibra)
  • Dashboard reporting tools (i.e. Tableau or SAP Dashboard)
  • Data Profiling experience – (i.e. Syncsort Trillium Discovery)
  • Data Quality experience – (i.e. Syncsort Trillium Quality)

Area of Responsibilities



  • Update ingestion templates and ingest technical metadata, mapping, and business glossaries.
  • Create relationships between technical assets, reports, and business glossary terms.
  • Ensure data classification is defined for appropriate data usage – Personal Identifiable Information (PII)
  • Analyze data and utilize business rules to gage data quality for validity, conformity, accuracy, completeness, and uniqueness.
  • Interpret data quality findings and communicate clearly via reporting, score-carding, and dashboards.
  • Communicate with our business and technology partners in an effective and timely manner.
  • Work with the team on process analysis and improvements
  • Provide weekly status for assigned tasks.


Work type

Full time

Work mode


Application deadline

May 20, 2024


Waterloo, Toronto