IT Data Analyst (Internship)

Selamat Datang di Situs Lowongan Kerja Indonesia Terbaru 2026 dan Saat ini kami ingin memberitahukan Info Terbaru Mengenai Informasi Loker dari Perusahaan Expat. Roasters dengan posisi IT Data Analyst (Internship). Untuk selengkapnya silahkan baca deskripsi lowongan kerja di bawah ini dengan seksama dan teliti, beserta persyaratan minimal lowongan kerja di yang telah tertera dan dijelaskan di bawah ini.

Expat. Roasters melalui program rekrutmennya saat ini sedang membuka lowongan kerja untuk posisi IT Data Analyst (Internship) di Denpasar yang bertujuan untuk meningkatkan kinerja operasional di dalam maupun luar kantor Expat. Roasters. Perusahaan Tersebut sedang mencari calon tenaga kerja yang siap diterjunkan ke setiap divisi bagian perusahaan yang sesuai dengan posisi, kemampuan dan keahlian para pencari kerja tersebut. Berikut ini adalah detail lengkap persyaratan untuk posisi IT Data Analyst (Internship) di Denpasar Perusahaan Expat. Roasters:

Collect, process, and analyze data from various sources to support business decision making.

Help identify patterns, trends, and insights from datasets.

Create periodic and ad-hoc reports in the form of data visualizations (dashboards, graphs, tables) using tools.

Ensure data accuracy and relevance by validating and maintaining databases and dashboards.

Support ETL (Extract, Transform, Load) processes for data integration from various sources.

Collaborate with business and IT teams to understand data analysis needs.

Ensure data is managed in accordance with company data security policies and applicable regulations.

Requirements

A minimum of a Diploma (D3) or Bachelor’s degree (S1) in Information Technology, Information Systems, Computer Science, Mathematics, or related fields. Fresh Graduate is welcome.

Experienced in data analysis or a similar role (fresh graduates with a strong portfolio or internship experience will be considered).

Knowing SQL, Python, or R for data analysis.

Experience with data visualization tools such as Tableau, Power BI, or Google Data Studio.

Basic understanding of databases and data architecture.

Strong analytical skills, attention to detail, and excellent communication skills.