Assistant Manager/Manager, Quality Assurance and Educational Analytics

National University of Singapore; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading research university in Singapore is seeking a Manager, Quality Assurance and Educational Analytics to join its Academic Analytics team. This role focuses on developing data dashboards and performing analyses to enhance educational quality and support institutional reporting. The ideal candidate will have a relevant degree and strong experience in data visualization, with proficiency in tools like Power BI and Excel. Excellent communication skills are essential for this position.

Qualifications

• Minimum 4 to 7 years of relevant work experience.
• Experience in developing and maintaining dashboards for reporting.
• Proficiency in data analytics tools.

Responsibilities

• Design, build, and maintain interactive dashboards to visualize educational KPIs.
• Assist in institutional reporting and accreditation documentation.
• Collaborate with cross-functional teams to enhance educational processes.

Skills

Data Visualization

Communication Skills

Data Management

Analytical Skills

Education

Bachelor’s Degree in Data Analytics or related field

Tools

Power BI

Excel

R

Python

SPSS

Job description

Company description

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore.

Job Description

We are seeking a highly motivated individual to join our Academic Analytics team as Manager, Quality Assurance and Educational Analytics, working closely with the Assistant Dean for Educational Evaluation to advance data-driven quality assurance and continuous improvement. The Academic Analytics team plays a key role in leveraging data to inform evidence-based decision-making, enhance educational quality, and support institutional reporting and accreditation. Through this work, the team helps revolutionize teaching and learning, and strengthen strategic and operational processes within the education mission at Duke-NUS. The Manager will contribute by developing interactive data dashboards and performing data analyses that translate educational data into actionable insights for leadership and faculty. In addition, this role provides cross-functional support for initiatives across the Education Advancement Department.

Job Responsibilities

• Academic Analytics and Data Visualization
  • Design, build, and maintain interactive dashboards (e.g., Power BI) to visualize educational key performance indicators (KPIs) and support evidence-informed decision-making.
  • Develop automated reporting workflows and analytical models to enable longitudinal and cross-programme analyses.
  • Conduct data analyses to inform teaching, learning, and curriculum improvement.
  • Translate complex findings into clear, user-friendly visualizations and summaries for leadership, faculty, and committees.
  • Collaborate with IT and institutional data partners to ensure data governance, integrity, and interoperability across systems.
• Quality Assurance and Evaluation
  • Coordinate programme reviews, stakeholder feedback cycles, and follow-up action tracking for quality improvement.
  • Assist in institutional reporting and accreditation documentation.
• Cross-functional Collaboration and Strategic Support
  • Collaborate with colleagues across the Education Advancement Department to integrate analytics into faculty development and educational research.
  • Contribute to cross-functional projects that leverage academic analytics to enhance teaching, learning, and operational processes within the education mission of Duke-NUS.

Qualifications

• Bachelor’s Degree in Data Analytics, Data Science, Information Systems, Computer Science, Educational Measurement, or a related quantitative or social-science field.
• Minimum 4 to 7 years of relevant work experience.
• Demonstrated experience in developing and maintaining dashboards (e.g., Power BI) for data visualization and reporting.
• Preferred experience in applying data analytics.
• Proficiency in data management and analysis tools such as Excel, R, Python, or SPSS; familiarity with SQL or DAX is an advantage.
• Excellent communication skills in both spoken and written English.

Personal Attributes

• Possess strong interpersonal skills.
• Resourceful and able to work independently.
• Good organizational skills.
• Team player with a pleasant personality.