Back to jobs
Singapore, Singapore
2026-05-22
KA Group | Knight Auto
Southeast Asia
Information Technology Intern
Role Description
**Job Description (Duties \& Responsibilities)**
* Contribute to the design, development, and documentation of data and analytics solutions
* Develop, maintain, and optimize scalable data pipelines and ETL/ELT workflows across cloud-based data platforms such as Snowflake, Azure, and Databricks, using SQL and Python for data transformation, validation, integration, and preparation for downstream reporting and applications.
* Support the development of business intelligence (BI) dashboards, reports, and analytical applications using Power BI and related visualization tools to enable business insights and decision-making.
* Participate in AI automation and intelligent workflow initiatives, including workflow orchestration, automation scripting, and development of internal tools using platforms such as n8n, Streamlit, Python, and AI-enabled technologies to improve operational efficiency.
* Collaborate with cross-functional stakeholders to gather business requirements, troubleshoot data-related issues, and translate operational needs into technical and analytical solutions.
* Assist in data modelling, data quality management, performance tuning, and continuous improvement of analytics and reporting environments.
* Support deployment, testing, monitoring, and maintenance of data and analytics solutions across cloud and hybrid environments.
**Job Requirements (Qualifications \& Experience)**
* Strong analytical thinking, problem-solving, and troubleshooting skills, with the ability to understand end-to-end data flows and translate business requirements into technical solutions.
* Hands-on experience or strong foundational knowledge in SQL and Python programming for data processing, automation, analytics, and reporting.
* Fundamental understanding of data analytics, data engineering, cloud data platforms, ETL/ELT concepts, and machine learning / AI concepts.
* Exposure to or experience with Snowflake, Databricks, Microsoft Azure, and Power BI is highly preferred.