Operations & Data Coordinator, CET Programs

Skills and Workforce Development Agency; Singapore; On-site; SGD 42,000 - 60,000; Full time

Job summary

Skills and Workforce Development Agency in Singapore seeks an Administrative and Operational Support professional within the Industry Development Division 1 (IDD1) to back CET centres and programmes, including data handling and course processing. The role reports to a Team Lead and involves coordinating communications, records, and scheduling.

You should have 1–3 years in a data-centric environment, be analytical, meticulous, and proactive, with strong written and digital literacy.

Qualifications

• 1 to 3 years' experience in a data-centric operating environment and/or programme review.
• Strong analytical and systematic problem-solving skills with the ability to derive insights from data.
• Excellent writing and communication skills with strong digital literacy.

Responsibilities

• Administrative and Operational Support: Supports account managers on administrative and operational matters; coordinates internal and external communications related to programme operations; maintains administrative records, trackers, and supporting documentation; provides logistical and scheduling support for meetings and briefings.
• Course Processing Support (Selected Components): Supports selected course processing activities through data collation and backend coordination; coordinates with internal stakeholders and partners to facilitate processing workflows; provides surge administrative support during peak processing periods.

Skills

Data analysis

Analytical thinking

Communication

Digital literacy

Proactive

Adaptable

Job description

Skills and Workforce Development Agency in Singapore seeks an Administrative and Operational Support professional within the Industry Development Division 1 (IDD1) to back CET centres and programmes, including data handling and course processing. The role reports to a Team Lead and involves coordinating communications, records, and scheduling.

You should have 1–3 years in a data-centric environment, be analytical, meticulous, and proactive, with strong written and digital literacy.