Loker Data Scientist & Analyst

Loker Data Scientist & Analyst

Data Engineer — Omnichannel SaaS

Location:

Surabaya

Salary:
Rp 4-7 juta / month

Type:
Full-time

About the Role:

We are building an omnichannel finance & operations system used by real businesses to track orders, revenue, admin fees, and financial reports across multiple channels. This is not a tutorial project. You will work on real transaction data, marketplace integrations, data pipelines, and reporting systems used by actual companies.

• Build and maintain data pipelines for marketplace, sales, and finance data.
• Work with APIs, databases, and background sync processes.
• Clean, transform, and model messy real‑world business data.
• Help design reliable data structures for reporting and analytics.
• Work closely with founder to turn business problems into usable data systems.
• Improve data accuracy, performance, and reliability.

• Fresh graduate or 1-2 years experience.
• Strong SQL fundamentals.
• Basic Python or backend experience.
• Basic understanding of APIs and databases.
• Familiar with fact/dimension tables or dimensional modeling.
• Strong willingness to learn and take ownership.

• Work directly with founder.
• Build real data systems used by companies.
• Learn how marketplace, finance, and operations data works in the real world.
• High ownership—your work directly impacts users and business decisions.
• Opportunity to grow into data platform engineer / backend engineer.

• Send to
• Subject:
  Data Engineer Application - [Your Name].
• Include Git Hub / portfolio / project examples, if any.
• Short intro: why you’re interested.

Penempatan:
Pertamina Internasional EP (melalui pihak ketiga / outsourcing), Gd Patra Jasa, Jakarta Selatan.

Salary:
Rp 7 – 8 juta / bulan

• Pendidikan minimal S1:
  Teknik Informatika / Sistem Informasi - Teknik Perminyakan (dengan kemampuan data / Power BI).
• Pengalaman kerja 1–2 tahun di bidang data / analisis.
• Mampu mengoperasikan Power BI (data modeling, Power Query, visualisasi dashboard) dan Microsoft Excel & PowerPoint.
• Memiliki pemahaman dasar terkait proses bisnis pengeboran (nilai tambah, tidak wajib).
• Memiliki kemampuan analisis data menggunakan Python (opsional) dan SQL (opsional).
• Memiliki kemampuan problem solving yang baik dan data‑driven mindset.

• Mengembangkan dashboard menggunakan Power BI berdasarkan kebutuhan user.
• Melakukan data processing dan transformation menggunakan Power Query.
• Berkoordinasi dengan user untuk memahami kebutuhan bisnis dan menerjemahkannya ke dalam visualisasi data.
• Mengelola dan memastikan kualitas data untuk kebutuhan reporting.
• Mendukung otomatisasi proses menggunakan tools Microsoft (Excel, Power Automate, dll).
• (Opsional) Membantu analisis data lanjutan menggunakan Python / SQL.

• Kirim CV ke:
• Subject:
  Drilling Data Management – [Nama] - [Domisili].