Director, Analytics and Institutional Research - North Vancouver, Canada - Capilano University
Description
Competition Number
- S181148P
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 longterm success of our analytical landscape and the university community.
What you'll do - Collaborate with Digital Technology Services (DTS) to design, implement, and manage a robust data infrastructure that includes data warehouses, data lakes, and data pipelines, ensuring high data quality and scalability to support strategic enrollment management.
- Contribute to the development and implementation of data governance policies and programs to ensure data integrity, security, and compliance with Ministry requirements and other regulations.
- Oversee analytics and research activities, including the collection, analysis and reporting of data related key enrollment indicators, key performance indicators, visualizations, institutional surveys, and relevant research projects.
- Mentor, coach, and develop a high performing team to deliver timely, scalable, and quality data and research products.
- Proficiency in managing large datasets, conducting complex data analysis, and utilizing database management systems (e.g., skilled in SQL, NoSQL, and other database technologies).
What you'll bring
- Master's degree or higher in Data Science, Computer Science, Information Management, or a related field.
- Minimum of 8 years of experience in data management, analytics, or a related field, with at least 3 years in a leadership role.
- Experience and proven track record in designing and implementing data infrastructures, including data warehouses, data lakes, and ETL (Extract, Transform, Load) processes.
- Experience and proven track record of leading and delivering complex analytics and research projects to support organizational priorities.
- Experience in consulting, higher education or a related sector is preferred.
- Experience in leading remote and/or hybrid teams is preferred.
For more information
- For more information, please see the complete
job description.
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.
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.
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
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