Data Analytics Intern - Fresh Grad (6-Month, Office)

Sinar Mas Agribusiness and Food; Jakarta Selatan; On-site; IDR 44,640,000 - 66,960,000; Full time

Job summary

Sinar Mas Agribusiness and Food is offering a full-time internship in data administration at our Jakarta office. You will assist with data filtering and cleansing to ensure accuracy, help classify spare part brands, and support ongoing data management projects.

We seek fresh graduates or active students in Engineering or Management with strong Excel skills and a detail-oriented mindset. You will join a hands-on team and gain practical experience in data analysis, validation, and large-scale data

Qualifications

• Freshgraduate or undergraduate (active students) majoring in Engineering or Management.
• Proficient in Microsoft Excel, with strong data processing and analysis skills.
• Familiar with AI tools such as ChatGPT or Claude is a plus.
• Detail-oriented with strong data accuracy and ability to work with large datasets.
• Willing to learn and commit to a 6-month full-time internship.
• Available to work full-time from the office, Mon-Fri, 08:30-17:30, ASAP.

Responsibilities

• Perform data filtering and cleansing to ensure data accuracy and consistency.
• Assist in identifying and classifying spare part brands and categories.
• Support data validation and standardization for spare part information.
• Help identify duplicate part numbers and ensure data completeness.
• Support ongoing projects related to spare part data management and analysis.

Skills

Data analysis

Attention to detail

Problem solving

Willing to learn

Education

Fresh graduate or student

Engineering or Management

Tools

Microsoft Excel

AI tools (ChatGPT/Claude)

Job description

Sinar Mas Agribusiness and Food is offering a full-time internship in data administration at our Jakarta office. You will assist with data filtering and cleansing to ensure accuracy, help classify spare part brands, and support ongoing data management projects.

We seek fresh graduates or active students in Engineering or Management with strong Excel skills and a detail-oriented mindset. You will join a hands-on team and gain practical experience in data analysis, validation, and large-scale data