Data Scientist/ Date Analyst

National University of Singapore; Singapore; On-site; SGD 50,000 - 80,000; Full time

Job summary

A prominent academic institution in Singapore is seeking a Data Analyst to join their Office of Data and Intelligence team. The successful candidate will work on data collection, analysis, and visualization, providing insights for stakeholders across the university. Strong programming skills, proficiency in BI tools, and the ability to work with cross-functional teams are essential. A bachelor's degree in a relevant field is required; higher qualifications are preferred.

Qualifications

• Bachelor's degree in a relevant quantitative field.
• Excellent knowledge of at least one programming language.
• Proficient in Business Intelligence tools like Power BI or Tableau.

Responsibilities

• Create detailed reports for stakeholders on data and analytical results.
• Develop visualizations and presentations of analytical insights.
• Assist in enhancing the data culture across university units.

Skills

Python

R

Java

C++

C#.Net

SQL

Business Intelligence tools (Power BI, Tableau, Qlik Sense)

Machine learning techniques

Analytical skills

Communication skills

Education

Bachelor's degree in Data Analytics, Applied Statistics, Mathematics, Computer Science, or related field

Master's or PhD preferred

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.

The successful candidate will join a team of other data analysts and data scientists to engage in the following activities:

• 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 system to enable key stakeholders to access regular reports.

Qualifications

Successful candidate should have the following qualifications and capabilities:

• 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.

More Information

Location: Kent Ridge Campus

Organization: Office of the President

Department : Office of Data and Intelligence