NTU is leveraging learning analytics to improve teaching and learning as part of our Education Strategy 2025. This position is similar in nature to a business analyst but for advancing the use of data for teaching and learning purposes. The position is critical for developing a communication plan to get faculty and students buy-in on the learning analytics goals of the university. He or she would also be responsible for gathering faculty, students and schools’ teaching and learning needs, and translating the needs into meaningful learning analytics solutions. In addition, he or she is expected to have some technical competency in SQL, python and/or SharePoint, and to support the administration of key system Dataiku in compliance with the data and AI governance policy of the university.
Responsibilities
Communication, engagement and collaboration opportunities
- Conceptualise and execute a communication plan for learning analytics with various units in the university
- Engage students and support faculty champions to increase acceptance and adoption of learning analytics
- Communicate with end-users and analyse their business needs
- Manage and maintain the department website
Data management
- Support the data engineer in handling data request
- Manage the data science machine learning platform
- Work with director and data engineer to look into methods to ensure data and AI governance.
Project Management
- Provide support for learning analytics projects by helping to build dashboards and communications
Requirements
- Bachelor degree in Business Analytics or Data Science and related fields
- At least two years of experience as a business analyst or experiences working on data related project
- Prior experience working in a university setting is highly preferred
- Proficient in statistics,
- Some knowledge of machine learning approaches and AI approaches including discriminative and generative
- Some idea of the various data governance framework issued by PDPA
- Strong communication and networking skills
- Strong ability in translating user needs into a data science problem
- Good understanding of data science or analytics and governance
- Good technical skills such as python programming, system administration
- Experiences in developing dashboards and other visualization tools such as Qliksense and Power BI would be ideal
