Pacmann is one of the largest data boot camp in Indonesia with more than 4,000 registered students & communities. Through its schools: Sekolah Data, Sekolah Bisnis, and Sekolah Engineering, Pacmann provides affordable access to essential world-class learning materials needed to build a solid career in the data industry.

Job Overview

Maintaining a good learning environment for Pacmann students is a never-ending dedication for us right now. Taking good business insights from data, doing experiments, and performing predictive analytics could become a solution to optimize the learning process of Pacmann students.

We are looking for a data talent (Data Analyst or Data Scientist) who helps us deliver data solutions for teams in Pacmann. This position is FULL-TIME and ON-SITE (based in Jakarta)


  1. Data consultant. Help other team members solve their business problems using data, e.g.
    • Performing gap analysis.
    • Building analytics dashboard.
    • Building predictive models.
  1. Data trainer. Share your data skills with Pacmann students and other team members. You will be given some exciting data courses to teach and develop.

Basic Qualifications

  1. Have a bachelor’s degree in Computer Science, Informatics, Mathematics, or Statistics.
  2. Have a min. 2-3 years of work experience in a data-related industry.
  3. Good understanding in (or) – the more the merrier:
    • Programming (Python and SQL) is mandatory.
    • Statistics and Probability.
    • Building analytical dashboards. (Tableau, PowerBI, and/or, Metabase)
    • Machine learning models and how it works.
  1. A fast learner.
  2. Able to effectively synthesize, visualize, and communicate your ideas to others, including non-technical audiences.

What You Can Expect

  1. A very competitive salary, around Rp 8,000,000 to Rp 9,000,000 per month, based on your skills.
  2. An exciting job that will offer you opportunities to learn new knowledge and connect to top people from leading universities and industries.
  3. Able to work in Jakarta
  4. Full-Time commitment: 09.00 AM – 06.00 PM, Monday – Friday
  5. Working with a great team!
  6. Health insurance (after probation)

Selection Stages

  1. Please do a preliminary test and send your Resume to this link: 
  2. Initial interview
  3. User interview
  4. On job training
  5. Final interview
  6. Offering!

Additional Information

  1. Selected candidates are expected to join immediately, so submit and finish fast!
  2. For any questions, please email