Data Scientist/ Date Analyst

National University of Singapore; Queenstown; On-site; NZD 70,000 - 90,000; Full time

Job summary

A leading research university in Queenstown, New Zealand is seeking a Data Analyst to join the Office of Data and Intelligence. The role involves the collection, analysis, and visualization of data to provide insights for various stakeholders. Applicants should have a Bachelor's degree in Data Analytics or a related field, with proficiency in at least one programming language and the ability to communicate effectively across teams. This role offers opportunities to enhance the university's data culture.

Qualifications

• Bachelor's degree in a quantitative field required, Master's or PhD preferred.
• Excellent knowledge of at least one of Python, R, Java, C++, C#.Net, SQL.
• Strong analytical skills and problem-solving abilities.

Responsibilities

• Create detailed reports and visualizations for stakeholders.
• Assist in enhancing data culture across units.
• Develop data repositories for stakeholder access.

Skills

Python

R

SQL

Problem-solving

Data visualization

Machine learning

Education

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

Master's or PhD preferred

Tools

Power BI

Tableau

Qlik Sense

Job description

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore.

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