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About the Role
The Institutional Research and Data Governance (IRDG) office supports the University's data strategy by providing data, reporting, and analytics services. This role will deliver and manage institutional data pipelines to support university analytics needs, translate requirements into operable solutions, and implement and test data pipelines. The role will also support teams during a platform migration to a cloud-based environment and track resource performance.
Responsibilities
- Lead institution-wide analysis projects
- Provide training opportunities for divisional analysts
- Implement new analytics tools and platforms
- Improve access to curated institutional data sets
- Implement an institution-wide Data Governance program
- Support external reporting of institutional data
- Deliver and manage institutional data pipelines
- Translate requirements into operable solutions
- Implement and test data pipelines
- Deliver documentation, support, and maintenance to users
- Oversee development processes for institutional data sets
- Support teams across the University as they onboard to the new platform
- Track the performance of resources and related capabilities
- Evolve and scale services based on University needs
- Determine information requirements by working with clients
- Develop ETL programs for analytics initiatives
- Lead small projects
- Provide technical leadership for data engineering solutions
- Keep abreast of current tools/technologies
- Proactively gather material from appropriate web sites, technical publications, white papers, etc.
- Provide hands-on technical expertise to implement and maintain data pipeline solutions
Requirements
- Undergraduate degree in computer science or an equivalent combination of education and experience
- Minimum five (5) years’ experience in database engineering
- Experience in managing large scale data warehouse environments
- Demonstrable understanding of analysis and design methodologies using appropriate tools
- Minimum two (2) years’ experience developing data engineering pipelines
- Direct experience with Informatica and Microsoft Azure Platform is highly desirable
- Experience in machine learning desirable
Skills
- Proficiency with ETL tools including Informatica
- Familiarity with Microsoft Azure
- Knowledge of AMS systems: FIS and HRIS
- Knowledge of student system: ROSI
- Expert knowledge of MS Excel
- Excellent writing, communication and presentation skills
- Strong analytical, problem-solving and interpersonal skills
- Understanding of University financial and enrolment matters
- Ability to work to strict deadlines and pressure situations
- Commitment to diversity and equity
Location
- St. George (Downtown Toronto)
Work Type
- 70% onsite
- Full-Time
Experience Level
- 5+ years in database engineering
- 2+ years developing data engineering pipelines
Education Level
- Undergraduate degree in computer science or equivalent
Salary/Compensations
- $97,336 - $162,224
About the Company
- The University’s Institutional Research and Data Governance (IRDG) office was formally launched in 2020.
- In addition to providing leadership and administrative support for the institution’s data strategy, the IRDG office’s mandate is to provide data, reporting and analytics services within our distributed institutional research model, implement an institution-wide Data Governance program, and support external reporting of institutional data.
Equal Opportunity
- Commitment to diversity and equity