Librarian & Analytics Lead (AI, Data)

Nanyang Technological University Singapore; Singapore; On-site; SGD 90,000 - 125,000; Full time

Job summary

NTU Singapore seeks an experienced Librarian / Senior Assistant Manager to strengthen the Library’s data, analytics, and AI capabilities, improving operational efficiency and user experience.

You will develop data models, dashboards, ETL pipelines, and analytics platforms, collaborating with stakeholders across NTU to inform decisions and deliver practical analytics solutions. Experience with Qlik Sense, Power BI, Tableau, Python, and AI/LLM concepts is valued.

Qualifications

• Degree in a related discipline (e.g., Computer Science, Data Science).
• Minimum 5 years of experience in data engineering, analytics, BI, or related areas.
• Proficiency with data modelling, ETL, REST APIs, and dashboards.

Responsibilities

• Develop, enhance, and maintain library data models, dashboards, data visualisations, and data integration pipelines.
• Work with library stakeholders to understand business requirements, assess data needs, and deliver practical analytics solutions.
• Support the review, improvement, and maintenance of analytics platforms and related data environments, including Qlik Sense, Denodo, Alma Analytics, and other relevant systems.
• Evaluate new analytics tools, platform features, and data visualisation approaches for possible adoption.
• Apply emerging technologies, including AI workflows, AI agents, and related tools, to improve library analytics, operational efficiency, and user experience.
• Support staff adoption of dashboards, data tools, and technology‑enabled solutions through communication, guidance, and training.

Skills

Data engineering

SQL

Python

BI dashboards

AI concepts

Education

Related discipline degree

Tools

Qlik Sense

Power BI

Tableau

Denodo

Alma Analytics

Job description

NTU Singapore seeks an experienced Librarian / Senior Assistant Manager to strengthen the Library’s data, analytics, and AI capabilities, improving operational efficiency and user experience.

You will develop data models, dashboards, ETL pipelines, and analytics platforms, collaborating with stakeholders across NTU to inform decisions and deliver practical analytics solutions. Experience with Qlik Sense, Power BI, Tableau, Python, and AI/LLM concepts is valued.