Intern, DAT (DSAI)

Description du poste:

[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