Head (Data Management)

5 days ago

Singapore PAS People's Association Full time

As a Head (Data Management), you will establish and review the data management policies, processes and procedures to ensure the security and quality of data collected and generated; assist in the development and maintenance of the Data Systems; prepare data for data analytics and visualization purposes, and conduct statistical analysis to better understand the operations and identify opportunities for improvement using programming tools/coding; and guide PA officers in collecting, processing and analysing the PA data.

**Key duties and responsibilities**
- Establishes and reviews the data management policies, processes and procedures to ensure the security and quality of data collected and generated.
- Assists in the review of data architecture and maintenance of related documents.
- Assists in the development of Data Systems, including gathering and documentation of users’ requirements, preparing procurement documents, and performing UATs, etc.
- Assists in the maintenance of the Data Systems, including liaising with vendors to resolve system and data issues, and providing vendor the users’ requirements to upgrade system capabilities.
- Identifies new datasets needed for PA outreach and engagement, and develops interfaces to bring the datasets into PADNA.
- Conducts statistical analysis to better understand the operations and identify opportunities for improvement.
- Prepares datasets including data cleansing and masking for analytics and visualization purposes.

**Other Duties**
- Assists in PA major events and participates in ad hoc working committees
- Performs any other duties assigned by the senior officers

**Knowledge & Skills**

**Experience**:

- Minimum - Three years of working experience in managing big data, conducting statistical analysis or performing data analytics.
- Desired - Five years of working experience in managing big data, conducting statistical analysis or performing data analytics, with working experience in social and community development sectors.

**Others**:

- Good leadership, analytical and communication skills.
- Good knowledge in data management/data science platform, statistical software, geospatial and data visualization tools.

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