Intern, DAT (DSAI)

[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.