Intern, DAT (DSAI)

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[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.

[职位简介]
通过这次实践经验，实习生将获得数据如何支持政府环境中的决策制定和卓越运营的实际经验。您将与跨职能团队合作，支持数据核对、分析和商业智能计划，为SLA的数据和数字化转型工作做出贡献。

[您将负责的工作]

数据核对与质量
支持跨系统和数据源的数据核对，确保一致性和准确性。
协助识别和调查数据差异，并记录发现和解决方案。
参与数据质量检查，帮助标记和记录问题，以支持治理和问责目的。

数据分析与洞察
协助分析数据集，揭示支持业务和运营决策的趋势、模式和洞察。
支持为内部利益相关者准备数据输出和摘要。
以清晰和结构化的方式记录分析方法、假设和结果。

商业智能与报告
支持开发和维护仪表板和报告，以满足利益相关者的需求。
协助将业务需求转化为可视化和商业智能输出。
与团队合作确保报告准确、及时，并可供目标用户访问。

项目协调与文档
支持跟踪数据和分析计划中的任务、交付成果和里程碑。
协调数据、业务和技术团队的输入。
为项目讨论和更新准备文档、摘要和材料。

[我们正在寻找]

正在攻读计算机科学、数据科学、信息系统、工程或相关领域学位的学生。
了解数据质量和完整性如何影响分析结果，能够清晰沟通并以结构化方式记录工作。
能够熟练使用Python和数据集，并愿意根据工作需要独立探索和使用新工具和平台。
好奇心强，积极主动，愿意与技术团队和业务团队互动，并能够适应多个工作流的工作。
对数据安全、治理和隐私问题负责且谨慎。
有涉及数据、分析或商业智能的课程、项目或实习经验者优先。
适应性强，愿意跨多个工作流工作
积极的心态，愿意了解复杂的组织挑战
适应能力和学习意愿
负责且积极的心态
能够全职投入，从2026年10月至2027年3月/2026年11月至2027年4月/2026年11月至2027年5月，至少3至6个月。
请在您的简历中注明您的可用时间。

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