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Data Scientist/ Date Analyst
Job summary
A leading educational institution in Singapore is seeking a Data Analyst to join their Office of Data and Intelligence. The successful candidate will engage in data collection, analysis, and visualization for reporting purposes and collaborate with various stakeholders to enhance data capabilities. A Bachelor’s degree in a quantitative field with strong programming skills in Python, R, or SQL is required. This role offers a dynamic work environment focused on strategic data insights.
Qualifications
- Excellent knowledge in scripting/programming languages.
- Experience with Business Intelligence tools.
- Ability to design scalable algorithms.
Responsibilities
- Create detailed reports on data sources and insights.
- Develop visualisations and presentations.
- Assist in enhancing data culture and capabilities.
Skills
Education
Tools
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.
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.
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.
Location: Kent Ridge Campus
Organization: Office of the President
Department: Office of Data and Intelligence
Employee Referral Eligible
Job requisition ID: 30525
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.