Office of the Registrar - Manager (Data Management, Analytics & Digitalisation)

[What the role is]
The successful candidate will be responsible for and take the lead in handling data requests, performing data analytics and visualisation, deriving data insights, as well as identifying and implementing process improvements through the adoption of suitable technologies. The candidate will also oversee possible integration of processes and data across various functions (such as assessment, admissions, student records) within the department. Those with vast prior experience and a good track record in data management and analytic roles may be considered for a more senior position.

[What you will be working on]

Key tasks include the following:

• Respond to data requests from internal and external stakeholders in a timely and accurate manner
• Analyse large datasets to uncover trends, patterns, and actionable insights that support decision-making processes
• Develop and maintain interactive dashboards and reports using data visualisation tools (e.g., Power BI).
• Automate repetitive data requests and data analysis tasks to improve efficiency and minimise errors
• Identify and implement process improvements through the use of suitable technologies in collaboration with relevant colleagues

[What we are looking for]

Job Requirements:

This role requires a deep understanding of data management, analytical skills, and the ability to communicate findings effectively.

Candidates should have:

1. Relevant qualification(s) with at least 3 to 5 years of relevant working experience working in a higher education environment, particularly within a Registrar’s Office.

2. Experience with programming languages such as Python or R.

3. Possess the following essential skills:

• Analytical Thinking: Ability to analyse data critically and draw meaningful insights.

• Attention to Detail: High level of accuracy in data handling and reporting.

• Communication: Excellent written and verbal communication skills, with the ability to present data clearly.

• Technical Proficiency: Strong technical skills in data analysis and visualisation tools.

• Time Management: Ability to prioritise tasks and manage time effectively to meet deadlines.

• Team Collaboration: Ability to work effectively within a team and across departments.