About Us:

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The family-like atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

Job Description:

Support the management of a centralized database system, ensuring accurate data entry.
Document and report any identified bugs or technical issues to the IT department (IITS) or external vendors, and follow up on issue resolution and system improvements.
Coordinate with IITS and external vendors to facilitate seamless integration between faculty management systems and data dashboards.
Extract key data from Qualtrics and other sources that are not automatically updated in the master faculty database, consolidating information for completeness.
Support Massive Open Online Course (MOOC) initiatives, particularly during testing phases and trial runs, to ensure successful implementation and troubleshoot issues.
Assist in projects involving Generative AI (GenAI), contributing to testing, data preparation, and the rollout of AI-driven tools or processes.
Extract and compile data for client reports, translating data into clear insights and visualizations to meet reporting needs.
Provide general project support across various initiatives and handle ad-hoc duties as required, demonstrating flexibility and effective problem-solving.

Qualifications:

Bachelor's degree in Data Science, Statistics Computer Science, IT or related discipline.
1 -2 years of working experience, preferably in the education industry.
Proven proficiency in data management and basic data analytics (comfortable working with databases and interpreting data).
Familiarity with database systems and reporting tools (for example learning management systems, or data visualization software).
Experience in project management and coordinating with multiple stakeholders to drive projects to completion.
Strong communication skills with the ability to work cross-functionally and liaise effectively with both internal teams and external partners/vendors.

Other Information

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Candidates who do not possess the stipulated qualifications but have relevant work experience may still apply. Remuneration and appointment terms shall commensurate with qualifications and experience. SMU reserves the right to modify the appointment terms where necessary.

Learning Analytics Specialist, SMU Executive Development