Director, Analytics and Institutional Research
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Please see Special Instructions for more details.
Interested applicants should submit their cover letter, resume and proof of education. Capilano University is an equal opportunity employer.
Posting Details
Posting Summary
Competition Number | S181148P |
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Position Title | Director, Analytics and Institutional Research |
Position Number | 00000 |
Employee Group | Administrator |
Position Status | Regular Full-Time |
Start Date | |
End Date (if applicable) | |
Department | Institutional Research |
Additional Notes | Although this position can be performed fully remote, the successful individual must reside in British Columbia (BC), as per regulation. |
Location | North Vancouver |
Working with us | As a member of the the Institutional Research & Analytics team here within Capilano University, you will be a vital asset in providing an exceptional experience to both our employee and student communities through invention, collaboration, and technical talent. As we embark on our university wide digital transformation, we’ll be seeking fellow trailblazers to join our teams as we integrate state of the art analysis frameworks and technologies. With a variety of projects and initiatives in the pipeline, there is no shortage of opportunity to innovate. Within our teams, you’ll be working alongside a variety of talented individuals involved in initiatives focused on cyber security, data analysis, operational analytics, quality assurance, integration, customization, and implementation. Do you have a passion for optimization? Join us in creating a lasting impact that goes beyond routine tasks, contributing to the long-term success of our analytical landscape and the university community. |
What you’ll do | The Director of Analytics and Institutional Research will spearhead the strategic development and management of the university’s data infrastructure for the purpose of strategic enrollment management. This role demands effective collaboration with internal and external stakeholders to bolster data-informed decision-making and ensure robust data governance. The ideal candidate will have a proven track record in leading high-performing data teams, a strong foundation in technical and analytical disciplines, and the ability to distill complex data insights for diverse audiences. Key responsibilities include promoting data literacy, advancing the university’s data science capabilities, and ensuring these efforts align with the strategic goals of the institution. This role is remote/hybrid, and the successful candidate will lead a team of 3-5 remote analysts. This role reports to the Associate Vice-President of Strategy, Analytics and Transformation.
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What you’ll bring |
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For more information | For more information, please see the complete job description.
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Benefits | At Capilano University, we understand that there is more to life than work. That is why we offer comprehensive benefits and support to help you and your family live a balanced life. Take a sneak peak to see what it is like to work at Capilano University. |
Posting Detail Information
Days and Hours of Work | Our standard work week is Monday to Friday, 8:30am – 4:00pm. This position may include working evenings and weekends based on departmental needs. |
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Bridge Period (if applicable) | |
Pay Group | 15 |
Salary | This position has a salary range of $122,418 (minimum) to $163,224 (midpoint) to $187,707 (maximum) per annum. Employment offers will typically be made between the minimum and midpoint of the range and are determined by knowledge, experience and internal equity. Additionally, Capilano University also offers a competitive total rewards package (college pension plan, employer paid benefit premiums, health spending account, modified work week, remote working options, etc.) |
Union | N/A |
Job Open Date | 05/07/2024 |
Job Close Date | |
Open Until Filled | Yes |
Quick Link for Posting | https://jobs-capilanou.peopleadmin.com/postings/6941 |
Supplemental Questions
Required fields are indicated with an asterisk (*).
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Have you completed a master’s degree or higher in Data Science, Computer Science, Information Management, or a related
field?
- Yes
- No
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Do you have 8 years of recent experience in data management, analytics, or a related field, with at least 3 years in a leadership role?
- Yes
- No
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Do you have experience in designing and implementing data infrastructures, including data warehouses, data lakes, and ETL (Extract, Transform, Load) processes?
- Yes
- No
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Do you have experience in leading remote and/or hybrid teams, outside of COVID-19?
- Yes
- No
Applicant Documents
Required Documents
- Resume
- Cover Letter
- Transcripts
- LinkedIn Profile Link
- Proof of Education
- Letter of Recommendation 2
- Certification 1
- Certification 2
- Certification 3