Centre for the Applications of Teaching & Learning Analytics for Students (ATLAS) is leveraging on learning analytics to improve teaching and learning as part of 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.
He or she would be working with the director and the data scientists to enhance data literacy of faculty and students. In addition, he or she is expected to support the administration of key systems such as Denodo and 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
- Seek opportunities to collaborate with internal and external parties to achieve the learning analytics goals
- 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
- Build the data exploration tool to support data requester in identiying potential bias and discrimination in the requested datasets.
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 an university setting is highly preferred
- Proficient in statistics, machine learning approaches and AI approaches including discriminative and generative
- Familiar with various data governance framework issued by PDPA
- Strong communication and networking skills
- Strong ability in translating user needs into a data science problem
- Strong understanding of data science or analytics and governance
- Strong technical skills such as python programming, system administration
- Proficient in developing dashboards and other visualization tools such as Qliksense and Power BI
