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Senior Executive, Data Analyst (1-yr contract)
Job summary
A leading healthcare institution in Singapore seeks a Senior Executive, Data Analyst to support the development of data analytics projects. The ideal candidate will have a Bachelor's degree in a relevant field and experience in data analysis, visualization, and creation of dashboards. Proficiency in SQL, Python, and experience with Quicksight is crucial. This role offers an opportunity to contribute to innovative clinical workflows utilizing AI and machine learning.
Qualifications
- Bachelor's degree in a relevant field (e.g., Statistics, Mathematics, Computer Science).
- Strong analytical and problem-solving skills.
- Proficiency in data analysis tools and programming languages.
- Familiarity with statistical techniques and data mining methods.
- Experience with data visualization tools.
- Knowledge of database concepts and experience with large datasets.
- Strong attention to detail.
- Excellent communication and presentation skills.
- Ability to work independently and collaboratively.
- Dashboard creation experience with Quicksight or Spotfire is a must.
Responsibilities
- Clean and preprocess data for accuracy and completeness.
- Apply statistical techniques and data mining methods.
- Identify patterns, trends, and correlations in the data.
- Develop data models, algorithms, and visualizations.
- Prepare and deliver reports, dashboards, and presentations.
- Collaborate with teams to understand data needs.
- Ensure visualizations are intuitive and easily understood.
- Implement data quality checks and validation processes.
- Monitor data integrity and address issues proactively.
Skills
Education
Tools
Job ID: 9048
Job Function: Administration
Institution: National University Health System
Reporting to the Deputy Group Chief Technology Officer of NUHS GCTO, you will support development work for the department for NUHS GCTO under the data analytics team to ensure that all data analyst work related to the dashboard creation and enhancements are done in a timely fashion. The incumbent will propose, develop, and implement advanced Artificial Intelligence / machine learning models and pipelines to augment clinical workflows in NUHS cluster.
You will be responsible for the following:
- Clean and preprocess data to ensure accuracy, consistency, and completeness.
- Apply statistical techniques and data mining methods to explore and analyze large datasets.
- Identify meaningful patterns, trends, and correlations in the data.
- Develop and implement data models, algorithms, and visualizations to present findings effectively.
- Prepare and deliver clear and concise reports, dashboards, and presentations to communicate analytical findings to stakeholders.
- Collaborate with teams across the organization to understand their data needs and provide analytical support.
- Ensure data visualizations are intuitive, visually appealing, and easy to understand for non-technical audiences.
- Develop and implement data quality checks and validation processes to ensure data accuracy and integrity.
- Monitor data integrity over time and proactively identify and address any data issues or anomalies.
- Bachelor's degree in a relevant field (e.g., Statistics, Mathematics, Computer Science).
- Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
- Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R) for data manipulation, analysis, and visualization.
- Familiarity with statistical techniques and data mining methods.
- Experience with data visualization tools (e.g., Tableau, Power BI) to create interactive and visually appealing dashboards and reports.
- Knowledge of database concepts and experience working with large datasets (Good to Have).
- Strong attention to detail and ability to handle and analyze data accurately.
- Excellent communication and presentation skills to effectively convey analytical findings to both technical and non-technical stakeholders.
- Ability to work independently and collaboratively in a fast-paced environment.
- Dashboard creation experience with Quicksight in AWS or Spotfire in Tibco is a must.
- Any other tasks assigned by the Data Lead.
* 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.