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Senior Assistant Manager, Data and Analytics

Nanyang Technological University

Singapore

On-site

SGD 80,000 - 100,000

Full time

Today
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Job summary

A leading educational institution in Singapore is seeking a Senior Assistant Manager (Data and Analytics) to generate data insights and improve decision-making across the university. This role requires a PhD in Social Sciences or STEM, along with strong empirical, quantitative, coding, and communication skills. The successful candidate will work closely with various stakeholders to optimize data processes and analytics strategies. Only shortlisted candidates will be notified.

Qualifications

  • PhD degree in Social Sciences or STEM expected.
  • Strong empirical and quantitative skills are necessary.
  • Good coding skills are required.
  • Effective communication and visualization skills are advantageous.

Responsibilities

  • Generate insights from data for evidence-based decision making.
  • Build databases and develop data analytics strategies.
  • Refine existing data collection processes.
  • Collaborate with stakeholders across various units.

Skills

Empirical skills
Quantitative skills
Coding skills
Communication skills
Visualization skills

Education

PhD degree in Social Sciences or STEM
Job description

Office of Data and Analytics (ODA) at the Nanyang Technological University is seeking to fill a number of Senior Assistant Manager (Data and Analytics) positions.

Job Responsibilities:
  1. Generate insights from both external and internal data to facilitate evidence-based decision making at all levels of the University.

  2. Build databases, develop data analytics and implement strategies to optimize statistical efficiency.

  3. Refine existing processes and define new processes in data collection to support decision-making at all levels of the University.

  4. Work in teams of stakeholders across various units.

Job Requirements:
  1. Has (or expecting) a PhD degree in the Social Sciences or the Science, Technology, Engineering, and Math (STEM), NOT necessarily in the data science or related fields.

  2. Has empirical and quantitative skills.

  3. Has good coding skills.

  4. Has good communication skills.

  5. Visualization skills an added advantage.

We regret that only shortlisted candidates will be notified.

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