The Development & Alumni Affairs Office is establishing a new AI & Data Labto support innovation in advancement intelligence. We are looking for a motivated and curious Executive Trainee to join our team. This is a 2-year structured program designed to develop your skills in data analytics, business intelligence, and data management within a higher education advancement setting. You will work closely with experienced analysts to transform alumni and donation-related data into actionable insights, supporting fundraising strategies and enhancing alumni engagement.
Key Responsibilities
Under guidance and supervision, the Trainee will:
- Assist in the development and maintenance of reports, dashboards, and data visualizations to support decision-making by senior leadership
- Support data analysis to uncover trends, patterns, and opportunities that drive fundraising and alumni engagement
- Help maintain data quality and integrity by assisting with data cleansing, validation, and documentation tasks
- Participate in the design and preparation of datasets for potential machine learning models in advancement activities
- Collaborate with team members to understand business needs and contribute to analytical solutions
- Learn and apply data governance and compliance practices across systems and workflows and
- Contribute ideas and observations to support the continuous improvement of the Lab's data strategy and roadmap.
Requirements
- Bachelor's degree or above in Artificial Intelligence, Data Science, Statistics, Computer Science, Information Systems, Mathematics, Engineering, Quantitative Finance, or a related quantitative field
- Proficiency in or strong willingness to learnAI tools and technologiesto enhance work efficiency and drive data-driven innovation
- Fresh graduates or candidates with 1-2 years of work experience are welcome to apply
- Basic proficiency in or strong willingness to learnSQLandPythonfor data analysis
- Familiarity with or interest in learningdata visualization platforms(e.g., Power BI, Tableau, Qlik) is an advantage
- Strong analytical and problem-solving skills with high attention to detail
- Ability to work with structured datasets and ensure data accuracy
- Good communication skills and ability to present findings clearly to team members
- A proactive attitude, eagerness to learn, and ability to work both independently and collaboratively
- No prior experience in fundraising or alumni relations is required-we welcome candidates from various backgrounds who are passionate about using data for positive impact
What We Offer
- Structured 2-Year Program:A dedicated training program to build a strong foundation in data analytics within a real-world setting.
- Mentorship:Direct guidance from senior data professionals in the newly established Data & AI Lab.
- Skill Development:Hands-on training in SQL, Python, Power BI, and data governance best practices.
- Real-World Impact:Opportunity to work with real alumni and fundraising data that directly supports the University's mission.
- Career Progression Opportunity:High-performing trainees may be considered for a regular position upon successful completion of the 2-year program.
Appointment Details
The appointment will be made on a fixed-term full-time contract for 2 years, to commence as soon as possible with the possibility of renewal subject to satisfactory performance. A highly competitive salary commensurate with qualifications and experience will be offered, together with contract-end gratuity and University contribution to a retirement benefits scheme at 10% of basic salary. Other benefits include annual leave and medical benefits.
How to Apply
Those interested in the post may contact Ms. Ronnie Lee of the Development & Alumni Affairs Office ([Confidential Information]) for further information.
The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will commence as soon as possible and continue until April 22, 2026or until the post is filled, whichever is earlier.
