Intern, DAT (DSAI)
Government of Singapore · Sla-Revenue House Level 11
[What the role is]
Through this hands-on experience, interns will gain practical exposure to how data supports decision-making and operational excellence in a government environment. You will work with cross-functional teams to support data reconciliation, analytics, and business intelligence initiatives, contributing to SLA's data and digital transformation efforts.[What you will be working on]
Data Reconciliation & Quality
- Support the reconciliation of datasets across systems and sources to ensure consistency and accuracy.
- Assist in identifying and investigating data discrepancies and document findings and resolutions.
- Contribute to data quality checks and help flag and document issues to support governance and accountability purposes.
Data Analytics & Insights
- Assist in analysing datasets to surface trends, patterns, and insights that support business and operational decisions.
- Support the preparation of data outputs and summaries for use by internal stakeholders.
- Help document analytical approaches, assumptions, and outcomes in a clear and structured manner.
Business Intelligence & Reporting
- Support the development and maintenance of dashboards and reports to meet stakeholder needs.
- Assist in translating business requirements into visualisations and BI outputs.
- Work with the team to ensure reports are accurate, timely, and accessible to intended users.
Project Coordination & Documentation
- Support tracking of tasks, deliverables, and milestones across data and analytics initiatives.
- Coordinate inputs across data, business, and technical teams.
- Prepare documentation, summaries, and materials for project discussions and updates.
[What we are looking for]
- Student pursuing studies in Computer Science, Data Science, Information Systems, Engineering, or related fields.
- Understanding of how data quality and integrity impact analytical outcomes, with the ability to communicate clearly and document work in a structured manner.
- Comfortable working with Python and datasets, and keen to independently explore and pick up new tools and platforms as required by the work.
- Curious, proactive, and willing to engage with both technical and business teams, and adaptable to working across multiple workstreams.
- Responsible and mindful of data security, governance, and privacy considerations.
- Previous coursework, projects, or internships involving data, analytics, or business intelligence are advantageous.
- Adaptable and open to working across multiple workstreams
- Positive mindset and willing to learn about complex organisational challenges
- Adaptability and willingness to learn
- Responsible and positive mindset
- Able to commit full time from October 2026 to March 2027 / November 2026 to April 2027 / November 2026 to May 2027 for at least 3 to 6 months.
- Please include your availability in your CV.
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