CERTIFIED INTERNSHIP PROGRAM – Data Analytics for Telin Digital Products

Pendidikan Jenjang pendidikan: S1. Jurusan: Computer Science, Engineering. IPK minimal: 3.1. Persyaratan Dokumen Portfolio Dokumen Lainnya CV KTP Sertifikat Transkrip Nilai KTM Ijazah/Surat Keterangan Lulus (bagi Fresh Graduate)

Tanggal penting Durasi : 6 bulan Penutupan lamaran : 6 Maret 2026 Pengumuman lolos seleksi : 31 Maret 2026 Rincian Lowongan TELINTERNSHIP

is a certified, project-based internship program designed to provide hands-on professional experience through real business projects initiated by Telin’s working units. The program runs for a period of

6 months

and is open to final-year university students and fresh graduates (maximum of one year after graduation) whose qualifications match the requirements of each project. Interns will receive a monthly internship fee and, upon successful completion of the project, will be awarded an Official Certificate of Completion signed by the Chief Finance & Risk Management Officer (CFRMO), along with a Magenta BUMN Certificate as part of the national certified internship program. Throughout the program, interns will be guided by assigned mentors from the respective business units and evaluated through clear and measurable monthly KPIs to ensure structured learning and performance progress. The working arrangement is conducted on a full

Work From Office (WFO) basis for 5 days a week

at Telin Jakarta, either at the Telkom Landmark Tower (TLT) office in Gatot Subroto or the Telin Operation & Command Center (TOCC) in Kalibata, depending on the operational needs of the placement unit. Job Description The intern will work on preparing digital product data by conducting data cleansing and processing activities to support data visualization for sales and business performance dashboards. Intern Qualifications Major in Computer Science, Engineering, or relevant field with a minimum GPA of 3.00 Experience in data analytics-related projects is preferable Advanced in using Microsoft Excel, basic SQL, and Python for reporting and analysis