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Internship

Data Governance, Fall 2024 - Toronto (Co-op/Internship) - 4 Months

🚀 Off-cycle Internship

Toronto

AI generated summary

  • You: Enrolled in relevant academic program, strong quantitative skills, proficient in data sets, excellent communication and presentation skills, advanced in Excel, PowerPoint, Word, Visio, Power BI, SQL, experience with Data Quality Management tools.
  • You will support data governance and quality reporting, enrich the business glossary, analyze data, design quality rules, perform ad-hoc analytics, automate data remediation, and collaborate with other teams for organization-wide efficiencies.

Off-cycle Internship

DataToronto

Description

  • Based in Toronto, the Co-op/Intern, Data Governance is responsible for supporting and implementing data governance and data quality frameworks developed to increase visibility to the organizational data quality gaps. The successful candidate will also work to ensure data definitions (business glossaries), policies, standards, rules, roles, and responsibilities (stewardship) are managed as a strategic business asset in our Data Governance tool of choice, Collibra.

Requirements

  • Currently enrolled in an academic program preferably in Business, Science, Technology, Engineering, Mathematics or Data Analytics.
  • Strong quantitative and analytical skills; detail-oriented and proficient in building and handling complicated data sets.
  • Excellent communication and presentation skills; demonstrate an ability to effectively communicate and present results that articulate key themes and messages.
  • Advanced knowledge of Excel, PowerPoint, Word, Visio, Power BI, and SQL
  • Previous experience with Data Quality Management tools and defining and supporting data-cleaning initiatives.

Education requirements

Currently Studying

Area of Responsibilities

Data

Responsibilities

  • Work closely with the Data Governance team and internal customers for support and development of governance and quality reporting.
  • Ensure the organization has a common understanding of the data by supporting the continuous enrichment of QuadReal’s business glossary using Collibra governance platform.
  • Analyze data with data profiling and visualization tools to identify issues and recommend improvement actions.
  • Apply DQ lenses and rules to filter and “clean” reports and correct data defects as needed.
  • Design and build data quality rules to validate the quality of data, as well as dashboards and metrics to monitor it.
  • Perform ad-hoc analytics on large/diverse datasets from multiple enterprise applications like JD Edwards, MS Dynamics, and Yardi.
  • Provide data in consumable formats and automate data remediation opportunities.
  • Create high-quality project deliverables, including reports, presentations, and briefing notes
  • Work effectively and collaborate with other teams to drive organization wide efficiencies.

Details

Work type

Full time

Work mode

office

Location

Toronto