Senior Data & Analytics Lead for Strategic Decisions

Nanyang Technological University Singapore; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Nanyang Technological University Singapore (NTU) is seeking a Senior Assistant Manager, Data and Analytics to advance decision-making through rigorous data analysis, statistical modelling and evidence-based insights. The role supports institutional planning, rankings, faculty and student outcomes, research analytics and continuous improvement of data processes across NTU.

The successful candidate will generate insights, build data pipelines, and collaborate with diverse units to enable

Qualifications

• PhD required in a related discipline.
• Strong knowledge of applied statistics and empirical research methods.
• Experience handling, cleaning, validating and analysing complex datasets.
• Coding skills with Python and/or R advantageous.
• Ability to develop analytical models and communicate findings clearly to stakeholders.
• Data visualisation skills are a plus.

Responsibilities

• Generate insights from internal and external data to support evidence-based decision making across the University.
• Build databases, develop data analytics and implement strategies to optimize statistical efficiency.
• Refine data collection processes to support decision-making at all levels of the University.
• Collaborate with teams across various units to achieve data-driven goals.

Skills

Applied statistics

Empirical research methods

Quantitative analysis

Data collection & cleaning

Data interpretation

Communication skills

Collaboration

Data visualization

Education

PhD in related field

Tools

Python

R

Job description

Nanyang Technological University Singapore (NTU) is seeking a Senior Assistant Manager, Data and Analytics to advance decision-making through rigorous data analysis, statistical modelling and evidence-based insights. The role supports institutional planning, rankings, faculty and student outcomes, research analytics and continuous improvement of data processes across NTU.

The successful candidate will generate insights, build data pipelines, and collaborate with diverse units to enable