Company Overview / Employee Value Proposition
Over the years, Hong Leong Asia has grown into an established Asian multinational known for our market leadership and financial strength. Having built core expertise in the manufacturing of building materials and diesel engines, we work closely with our customers across the rapidly urbanizing Asia to develop and deliver innovative solutions that will improve quality of life and drive sustainability for cities of the future.
We pride ourselves on making HLA a harmonious place to work at and to develop your long-term career. Our employees growth and well-being are of utmost priority to us, therefore we strive to offer opportunities, support and rewards for personal and professional growth. We are looking for inspiring, talented individuals to be part of the HLA family and help drive our vision and sustainability agenda.
Job Summary
The Data Analyst Intern (6-months period from Feb - Jul) will transform raw data into actionable insights to support decision-making across marketing, finance, and operations. You will collaborate with vendors and internal teams to enhance data quality and efficiency, develop dashboards and reports, and communicate findings to stakeholders.
Responsibilities
- Support data analytics and enterprise solution initiatives by conducting data feasibility assessments, performing detailed analysis, and troubleshooting issues to ensure project success
- Build interactive dashboards and generate reports using BI tools such as Power BI or Tableau to visualize key business metrics
- Perform data extraction and analysis using SQL and spreadsheets to provide accurate and timely insights
- Collaborate with business teams to gather data requirements, validate data accuracy, and document data processes for transparency and consistency
- Conduct exploratory data analysis, develop basic predictive models, and assist in analytics or machine learning pilot projects under supervision
- Prepare clear documentation and assist in delivering system training to enhance user adoption and knowledge transfer
- Stay updated on emerging technologies and recommend improvements to data analytics processes and tools
Preferred competencies and qualifications
- Undergraduate degree in Computer Science, Information Technology, Engineering, Statistics, Mathematics, Economics, Data Science, or a related quantitative field
- Relevant certifications in Microsoft technologies (e.g., Power Platform, Azure), RPA tools, or data analytics platforms are advantageous
- Experience in software development, application or system design, and data analysis or BI reporting
- Exposure to financial, manufacturing, or trading environments is a plus
- Familiarity with Microsoft technologies such as SQL, .NET, and Power Platform, along with an interest in emerging technologies like AI or RPA
- Exposure to data visualization tools (e.g., Power BI, Tableau) and basic programming languages such as SQL, Python, or R
- Meticulous attention to detail with eagerness to learn and apply new technologies
- Effective communication skills and ability to collaborate within a team to support multiple projects
