Internship - Statistics study

Seiko; Kulai; On-site; MYR 13,000 - 20,000; Part time

Job summary

Jora Malaysia is seeking a motivated Statistics Intern who is pursuing a degree in Statistics or related quantitative field. The internship offers hands-on experience in data analysis, statistical modelling, and reporting to support business decision-making.

You will work on data collection, analysis, and visualization, collaborating with cross-functional teams to drive insights and decisions. This role provides mentorship, exposure to BI tools, and opportunities to develop technical and

Qualifications

• Pursuing a Bachelor's degree in Statistics, Applied Statistics, Mathematics, Data Science, Actuarial Science, or related field.
• Proficiency in Microsoft Excel.
• Familiarity with statistical software such as R, Python, SPSS, SAS, or SQL.
• Strong analytical, problem-solving and critical thinking skills.
• Good communication and presentation skills.

Responsibilities

• Collect and organize data from multiple sources.
• Perform statistical analysis using appropriate methods and software.
• Interpret data and prepare reports, dashboards, and visualizations.
• Identify trends, patterns and insights to support decisions.
• Support data validation and quality assurance.
• Collaborate with cross-functional teams on analytics projects.
• Document methodologies, findings and recommendations.
• Perform other analytical and administrative tasks as assigned.

Skills

Analytical thinking

Detail-oriented

Problem-solving

Communication skills

Team collaboration

Education

Bachelor's degree in Statistics or related field

Tools

Excel

R

Python

SPSS

SAS

SQL

Job description

Jora Malaysia will close on 9th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.

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.