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Data Scientist/ Data Analyst

Summary

Analyze university data to build reports, visualizations, and dashboards that inform strategic decisions using Python/R, SQL, and BI tools like Power BI.

Job Description

To join the team at the Office of Data and Intelligence at the National University of Singapore (NUS) with the collection, analysis, visualization of data and presentation of analytical results for regular and ad-hoc reporting purposes to meet multiple information and strategic requirements for the various stakeholders of the university.

Job Title: Data Scientist / Date Analyst

Posting Start Date: 27/01/2026

Key Responsibilities
  • Create detailed reports on data sources, methodology, analytical techniques, analytical results and insights for stakeholders.
  • Develop visualisations and presentations for dissemination of analytical results and derivation of actionable insight.
  • Assist other units in the university with enhancing their data culture and capabilities.
  • Develop data repositories and systems to enable key stakeholders to access regular reports.
Qualifications
  • Bachelor degree in Data Analytics, Applied Statistics or Mathematics, Computer Science or another quantitative field, but higher qualifications (Master’s or PhD) is preferred.
  • Excellent knowledge of at least one of the following scripting/programming languages: Python, R, Java, C++, C#.Net, SQL.
  • Proficiency in using Business Intelligence tools (e.g. Power BI, Tableau or Qlik Sense).
  • Experience in applying machine learning techniques and designing algorithms that are scalable and production‑grade.
  • Knowledge of database, ETL and data API concepts.
  • Strong analytical, problem‑solving skills and critical thinking with the ability to articulate ideas with data.
  • Excellent written and verbal communication skills for coordinating across teams.
Additional Information

Location: Kent Ridge Campus

Organization: Office of the President

Department: Office of Data and Intelligence

Employee Referral Eligible

Job requisition ID : 30525

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