Intern, Commercial Data Analysis

Posted:
8/3/2025, 11:52:48 AM

Location(s):
North Jakarta, Java, Indonesia ⋅ Java, Indonesia

Experience Level(s):
Internship

Field(s):
Data & Analytics


Job Description

Intern Job Description

Position: Commercial Data Analysis Intern

Location: Wisma Tune

Key Responsibilities:

  • Data Consolidation and Simplification:

    • Collect, clean, and consolidate raw data from various sources or improvise it.

    • Transform complex data sets into clear, understandable formats that can be easily interpreted by the team.

  • Data Analysis and Insight Generation:

    • Analyze data to identify trends, patterns, and anomalies.

    • Provide actionable insights and recommendations based on data analysis to support business improvement and decision-making.

  • Data Presentation:

    • Develop and deliver presentations that communicate complex data and findings in a simplified and visually engaging manner.

    • Utilize Google Sheets, Google Slides, and Google Docs to create clear and professional reports and presentations.

Qualifications:

  • Analytical Skills: Strong numerical and analytical abilities with a keen eye for detail.

  • Data Interpretation: Ability to interpret complex data and present it in a user-friendly format.

  • Technical Proficiency: Proficiency in Google Workspace (Google Sheets, Google Slides, Google Docs) is preferred.

  • Communication: Excellent written and verbal communication skills, with the ability to present data-driven insights effectively.

  • Problem-Solving: Strong problem-solving skills and the ability to think critically about data and its implications for the business.

  • Team Player: Collaborative mindset with a willingness to contribute to team efforts and learn from others.

Preferred Qualifications:

  • Pursuing or completed a degree in Data Science, Statistics, Mathematics, Economics, Business, or a related field.

  • Previous experience or coursework in data analysis or data visualization is a plus.

Benefits:

  • Gain practical experience and exposure to real-world data analysis challenges.

  • Opportunity to work with a dynamic and innovative team.

  • Networking opportunities and potential for future employment.