Data Analyst Intern
Job Summary
Pingspace is looking for an enthusiastic Data Analyst Intern to join their team in Penang. In this role, you will work closely with the team to analyse client data, support business analysis, and study warehouse operations to improve performance. You will gain hands-on experience on real projects while using AI tools like Claude to clean data and uncover insights.
Responsibilities
- Clean, organise and analyse client data
- Analyse warehouse operations data
- Support business analysis and mapping processes
- Build clear reports and dashboards
- Use AI tools like Claude for analysis
Required Skills
- Currently pursuing or completed related degree
- Strong analytical and problem-solving skills
- Ability to work independently and in a team
- Interest in new technologies and methodologies
- Database management or business process experience
Job Details
Responsibilities:
- Clean, organise and analyse client data to ensure accuracy and usability
- Analyse warehouse operations data to identify trends and improvement opportunities
- Support business analysis by mapping processes and gathering requirements with internal teams and clients
- Build clear reports and dashboards to present findings
- Use AI tools (Claude) to speed up analysis, reporting and documentation
Requirements Qualifications:
- Currently pursuing or recently completed a degree in a related field such as Data Analytics, Statistics, Computer Science, Business Analytics, Information Technology or any related field
- Intake NOV, DEC 2026 OR JAN 2027 and is available for 3, 6, or 9 months
- Strong analytical and problem-solving skills with attention to detail
- Demonstrated ability to work both independently and as part of a team
- Keen interest in learning new technologies and methodologies within the data analytics space
- Preferred experience with database management systems or exposure to business process analysis
What we offer:
- Hands-on experience with AI-powered tools (Claude) for data and business analysis
- Exposure to real-world projects and business challenges
- A collaborative and inclusive work environment that fosters learning and innovation
- Flexibility in working arrangements (Hybrid)
- Networking opportunities within the technology and analytics sectors