We are looking for a motivated Statistics Intern who is currently pursuing a degree in Statistics or a related quantitative field. This internship offers hands-on experience in data analysis, statistical modelling, and reporting to support business decision-making.
The ideal candidate is analytical, detail-oriented, and eager to apply statistical concepts to real-world business problems.
Key Responsibilities
- Collect and organize data from multiple sources.
- Perform statistical analysis using appropriate methods and software.
- Interpret data and prepare clear reports, dashboards, and visualizations.
- Assist in identifying trends, patterns, and insights to support business decisions.
- Support data validation and quality assurance activities.
- Collaborate with cross-functional teams on analytics projects.
- Document methodologies, findings, and recommendations.
- Perform other analytical and administrative tasks as assigned.
Requirements
- Currently pursuing a Bachelor's degree in Statistics, Applied Statistics, Mathematics, Data Science, Actuarial Science, or a related field.
- Good understanding of statistical concepts and data analysis techniques.
- Proficiency in Microsoft Excel.
- Familiarity with statistical software such as R, Python, SPSS, SAS, or SQL is an advantage.
- Strong analytical, problem-solving, and critical thinking skills.
- Good communication and presentation skills.
- Able to work independently and as part of a team.
- Detail-oriented with a willingness to learn.
Preferred Skills
- Experience with data visualization tools (e.g., Power BI or Tableau).
- Basic knowledge of machine learning or predictive analytics is an advantage.
- Experience working with large datasets is a plus.
What You'll Gain
- Hands-on experience with real business data and analytics projects.
- Mentorship from experienced professionals.
- Exposure to statistical modelling and business intelligence tools.
- Opportunity to develop technical and professional skills.
- Potential consideration for future employment opportunities based on performance.
Pay: RM1,200.00 per month
Work Location: In person