PT. Metrodata Electronics, Tbk is one of the leading Information & Communications Technology (ICT) companies in Indonesia. Over the course of nearly five decades, the Company has been forging strategic alliances with world-class information & communications technology & digital companies across the globe. It continues to allocate its resources to discover, develop, & deliver new & boldly promising innovative businesses, to accelerate Indonesia’s digital transformation & usher in the fourth industrial revolution. The Company is the only national ICT company listed on the stock exchange, & it has received prestigious awards from numerous media outlets.

PT Metrodata Electronics, Tbk

We are looking for an experienced Data Scientist to join our team. If you have excellent programming skills and a passion for developing applications or improving existing ones, we would like to meet you. As a Data Scientist, you’ll work closely with our engineers to ensure system consistency and improve user experience. 

Data Scientist roles and responsibilities include: 

<ul>
	<li>Develop data science model using various machine learning platform such as Cloudera Data Science Workbench (CDSW), Google AI, Azure ML, IMB Watson, AWS Sagemaker, SAS, R, Python or others. </li>
	<li>Follow project timeline to ensure project complete on time and on budget </li>
	<li>Develop new product in machine learning area such as demand forecasting, product recommendation or basket analysis and other solution </li>
	<li>Improve competencies in machine learning area</li>
</ul>

Python

Data Scientist

ASTRO is Indonesia's quick commerce company that delivers groceries and essentials to your door within minutes. Founded in 2021 by a group of seasoned e-commerce executives and backed by both trusted International and local investors, it is our mission to make people's lives simpler and easier by saving them time, energy, and money.
Just like real Astronauts that take off into outer space, Astro embodies the values of being fast, bold, adventurous, and technologically advanced.
Interested in working for a company that pushes the boundaries and strives to be the best? Join us now to be a part of this ground-breaking mission!

Astro Technologies Indonesia

About This Position

We are looking for a Data Analyst to support the Demand Planning team in improving demand forecast accuracy and reliability. You will analyze sales and demand patterns, develop forecasting logic, and build automated tools and monitoring to support inventory and fulfillment decisions, ensuring customer demand is met just-in-time.

If you enjoy turning data into practical forecasting solutions and working cross-functionally to improve product availability, we would love to meet you.

 
Key Responsibilities

<ul>
	<li>Demand Forecasting &amp; Business Analysis
	<ul>
		<li>Analyze demand patterns across SKU, hub, category, time period, campaign, price changes, and seasonal/festive events.</li>
		<li>Develop, evaluate, and improve demand forecasting logic, including baseline normalization, seasonality, festive events</li>
		<li>Monitor and analyze forecast-performance metrics</li>
		<li>Identify and investigate sales and demand anomalies, including unusual spikes or drops caused by festive events, trends, pricing changes, or operational disruption.</li>
		<li>Translate analytical findings into clear recommendations for Demand Planners and Supply Chain stakeholders.</li>
	</ul>
	</li>
	<li>Forecasting Logic, Automation &amp; Data Products
	<ul>
		<li>Translate Demand Planning business requirements into scalable data solutions, including datasets, forecasting logic, dashboards, alerts, and automated workflows.</li>
		<li>Build and maintain data models and pipelines supporting demand forecasting processes, including data preparation, normalization, imputation, reporting, and configuration management.</li>
		<li>Automate manual forecasting and monitoring processes using SQL, Python, BigQuery, workflow orchestration/DAGs, and integrations with Google Sheets or reporting tools.</li>
		<li>Develop alerts and trackers to enable timely responses to changes in demand, pricing, anomalies, campaign performance, and availability risk.</li>
		<li>Maintain clear documentation for technical logic, data lineage, source tables, configurations, business rules, and operational runbooks.</li>
	</ul>
	</li>
	<li>Production Pipeline Ownership &amp; Reliability
	<ul>
		<li>Ensure the reliability and timeliness of daily forecasting pipelines and report-refresh processes.</li>
		<li>Conduct troubleshooting, root-cause analysis, and remediation for data-quality issues, pipeline failures, reporting discrepancies, and forecast anomalies.</li>
		<li>Perform manual runs or backfills when required, ensuring workflow sequence and dependencies are executed correctly.</li>
		<li>Work with Data Engineering, Data Science, and Product teams to improve the robustness, scalability, and maintainability of forecasting systems.</li>
	</ul>
	</li>
</ul>

Data Analyst

GTech is a global digital technology enabler providing integrated digital solutions across multiple industries. Our platforms cover omnichannel commerce digitalization, DTC commerce transformation, FinTech, Customer Relationship Management, and supply chain digitalization.

As part of the GTech group, our entities include PT GTech Digital Asia, PT Mapclub Digital Asia, PT GPay Digital Asia, PT Speedwork Solusi Utama, and PT GClub Digital Asia

GTech Group

Data Engineer will be responsible for building systems that collect, consolidate, manage, and transform data from various data sources into valuable information for data scientists and data analysts to interpret.

Data Engineer

PT BFI Finance Indonesia Tbk (BFI Finance) is one of the long-established pioneers in the financing sector in Indonesia. Founded in 1982, BFI Finance is recognized as a company with a wide network, supported by more than 200 financing outlets across provinces. In 1990, the Company became one of the first multifinance companies to list its shares on the Jakarta Stock Exchange and Surabaya Stock Exchange (both now known as IDX), with the ticker code BFIN.

PT BFI Finance Indonesia Tbk

<ul>
	<li>Mengumpulkan, membersihkan, dan menganalisis data untuk mengidentifikasi tren, pola, serta peluang bisnis.</li>
	<li>Mengubah hasil analisis menjadi insight dan rekomendasi yang dapat ditindaklanjuti (actionable insights).</li>
	<li>Membangun dan mengembangkan dashboard interaktif untuk mendukung monitoring kinerja bisnis.</li>
	<li>Berkolaborasi dengan tim Marketing, Sales, Product, dan stakeholder lainnya dalam menyelesaikan permasalahan bisnis berbasis data.</li>
	<li>Memantau KPI bisnis secara berkala serta memberikan insight terhadap potensi risiko maupun peluang peningkatan performa.</li>
</ul>

<ul>
	<li>Building data engineering capability by technical leadership</li>
	<li>Lead team to assess and support Analytics to prepare Big Data Ecosystem, architecture and analytics technology stack</li>
	<li>Designing and building technical processes to address all the Analytics Use Cases</li>
	<li>Lead team to analyze all the projects and use cases requirement</li>
	<li>Lead team to implement all projects in Analytics Area and align with Data Governance, Data Strategy, Data Operation, Data Warehouse and Application team</li>
	<li>Work with other senior team members to identify, plan, develop and deliver scalable data solutions</li>
</ul>

We are looking for an experienced Data Engineer to join our team. If you have excellent programming skills and a passion for developing applications or improving existing ones, we would like to meet you. As a Data Engineer, you’ll work closely with our engineers to ensure system consistency and improve user experience. 

Data Engineer roles and responsibilities include: 

<ul>
	<li>Create data sets that align with business needs</li>
	<li>Develop algorithms to transform data into useful and actionable information</li>
	<li>Build, test, and maintain database pipeline architecture</li>
</ul>

Since our founding in 2007 in US and VLink Consulting Indonesia (VCI) established in 2018, VLink is truly in a class of our own for our ability to deliver on all points important to our valued customers. We are an end-to-end global partner that provides consultative to coding services. Our delivery model, based on our global presence in North America and APAC regions, provides IT services and strategic workforce solutions. Our engineering mindset enables us to swiftly create affordable and tailored solutions for our customers – large and small.

VLink Inc

Job Description:

<ul>
	<li>Analyze, understand, maintain, debug, and enhance existing Python scripts used for data pipelines, data processing, and automation tasks.</li>
	<li>Design and implement processes to transform unstructured and semi-structured data, including JSON, XML, and log files, into clean, structured, and analysis-ready tabular formats.</li>
	<li>Develop, configure, maintain, and optimize data pipelines using Azure Data Factory (ADF) to support data integration, data movement, transformation, and workflow orchestration across multiple data sources.</li>
	<li>Build and manage ETL/ELT workflows to ensure efficient data extraction, transformation, loading, and delivery across systems.</li>
	<li>Configure pipeline activities, dependencies, triggers, and scheduling to support reliable and automated data processing.</li>
	<li>Integrate data from multiple sources and ensure it is processed and delivered accurately to the appropriate destinations.</li>
	<li>Write, maintain, and optimize complex SQL queries involving multiple joins, data granularity management, and query performance tuning.</li>
	<li>Implement data validation, consistency checks, and error-handling mechanisms to maintain data accuracy, completeness, and reliability.</li>
	<li>Monitor pipeline execution, investigate failures, identify root causes, and resolve data processing issues efficiently.</li>
	<li>Work closely with technical and business stakeholders to understand data requirements and deliver scalable, maintainable data solutions.</li>
	<li>Identify opportunities to improve pipeline performance, automation, processing efficiency, and overall data workflow reliability.</li>
</ul>

 

Job Details:

<ul>
	<li>Willing to working on-site</li>
	<li>PKWT Contract (extendable)</li>
	<li>BPJS (TK, KK), THR (1x), Bonus (1x), Yearly Income (14x)</li>
	<li>Medical Insurance (Individual Gold - AdMedika)</li>
	<li>Paid Leave (12 days/year)</li>
	<li>Laptop for working</li>
	<li>Overtime Pay (if any)</li>
</ul>

In 2005, Cititrans commenced its operation in Indonesia with only 4 vehicles and became the first to offer Executive Shuttle with Bandung-Jakarta route. In 2019, Cititrans became a member of Blue Bird Group and succeeded in expanding its business further.

Cititrans

Tugas dan Tanggung Jawab

<ul>
	<li>Menginput dan memperbarui data ke dalam sistem/database perusahaan dengan akurat.</li>
	<li>Memastikan ketepatan, kelengkapan, dan konsistensi data sebelum dan sesudah diinput.</li>
	<li>Melakukan pengecekan (validasi) data yang masuk dari berbagai departemen.</li>
	<li>Mengelola dan menyimpan dokumen fisik maupun digital secara rapi dan terorganisir.</li>
	<li>Melakukan koreksi apabila ditemukan kesalahan pada data.</li>
	<li>Menjaga kerahasiaan dan keamanan data perusahaan.</li>
	<li>Berkoordinasi dengan tim terkait untuk memastikan alur data berjalan lancar.</li>
</ul>

Data Entry

Kompas Gramedia, through its more than 50 years of history, is striving for one goal: enlightening and empowering Indonesia. To ensure that we are able to serve the nation for another 50 years, we are undergoing a digital transformation; strengthening and expanding our solid business pillars by developing new digital business initiatives.

Our vision is to enlight all the people in Indonesia with all the knowledge we have.

Kompas Gramedia

Melakukan analisa kinerja produksi sehingga dapat memberikan umpan balik untuk perbaikan proses produksi.

Memiliki kemampuan analisa, pengolahan dan perencanaan data yang baik

Memiliki kemampuan komunikasi &amp; kemampuan presentasi yang baik

<ul>
	<li>Develop learning activity plans and carry out teaching.</li>
	<li>Create learning outcome evaluation materials.</li>
	<li>Provide an assessment of the evaluation of learning outcomes.</li>
	<li>Provide assistance to students.</li>
	<li>Engage in school-related operations such as certification, accreditation, and other events, as well as any tasks that the principal assigns you.</li>
</ul>

General Science Teacher at Multimedia Nusantara School

<ol>
	<li>Ekstraksi &amp; Analisis Data : Menggali, membersihkan, dan menganalisis kumpulan data internal maupun eksternal untuk mengidentifikasi tren, pola, dan anomali.</li>
	<li>Penyusunan Insight Strategis : Mengubah hasil analisis data kompleks menjadirekomendasi bisnis yang konkret, informatif, dan dapat langsung dieksekusi (actionable).</li>
	<li>Pembuatan Dashboard &amp; Report: Merancang, membangun, dan memelihara dashboard interaktif agar stakeholders bisa memantau metrik secara mandiri.</li>
	<li>Kolaborasi Lintas Tim: Bekerja sama dengan tim marketing (produk, channel, sales) maupun diluar tim marketing untuk memahami tantangan bisnis dan menyelesaikannya lewat pendekatan berbasis data.</li>
	<li>Evaluasi Metrik Bisnis: Memantau indikator pencapaian target business secara berkala dan memberikan "alarm dini" jika ada performa yang menurun atau mendeteksi peluang baru yang bisa dimanfaatkan</li>
</ol>

Data Insight Specialist

CODE.ID was previously a business unit of INTEGRASI, a system integrator that also provided software services established in 1999. In 2014, CODE.ID becomes an independently run company which currently has around 100 passionate developers with a myriad numbers of skill sets. 

CODE.ID has been established since 1999 and became a publicly listed company in Jakarta Stock Exchange in 2001 - as PT Integrasi Teknologi Tbk. It was back to be a private company in 2007.


Our Success Stories:

We successfully developed, deployed, and supported Information Technology Infrastructure for Komisi Pemilihan Umum (KPU) or the National Election Commission in 2004. We developed the election application and also distributed, installed, and  supported (7x24 hour) two data centers and 8000 VPN connected personal computers in 5,000 locations in the cities, rural areas, and remote areas all over Indonesia.

Code.id

Analisis Akar Masalah (Root Cause Analysis): Melakukan investigasi RCA berdasarkan alert monitoring data pipeline sesuai prosedur dan SLA pada lingkungan Production (DC) dan Disaster Recovery (DR).

Pengelolaan Deployment: Melaksanakan proses deployment platform data pipeline, meliputi tahap pre-check, deployment execution, hingga post-deployment monitoring untuk memastikan kualitas dan keberhasilan deployment.

Pemeliharaan &amp; Optimasi Sistem:

Melakukan deep dive analysis terkait performa sistem data pipeline dan database, mencakup configuration tuning, table, index, jobs, dan query.

Melakukan pengecekan detail pada object platform dan database untuk mengidentifikasi potensi masalah serta menentukan solusi permanen maupun langkah perbaikan berkelanjutan.

Penyelesaian Masalah (Troubleshooting): Penanganan troubleshooting tingkat lanjut dan perbaikan insiden pada pipeline logic, OS &amp; server, storage, serta jaringan dan konektivitas.

Analisis Tren &amp; Otomasi:

Menganalisis tren performa dan penggunaan sistem (data growth, job relation &amp; dependency, data flow, resource utilization) serta menyusun rencana peningkatan performa (improvement).

Menguasai proses otomasi (monitoring, alert, notification, analisis) dan penyesuaian performa (performance tuning) pada sistem, database, maupun server.

Dokumentasi &amp; Transfer Knowledge: Menyusun serta memperbarui prosedur operasional, mendokumentasikan change management pada tracker, dan memberikan bimbingan (transfer knowledge) kepada tim Junior.

Pelaporan &amp; Komunikasi: Menyusun dan mempresentasikan analisis, rekomendasi, serta wawasan (insight) terkait sistem pangkalan data kepada tim teknis maupun non-teknis.

Data Pipeline Operator

<ul>
	<li>Investigate questions that span qualitative textual analysis and quantitative analysis. Identify trends, isolate anomalies, and drive to the root cause rather than stopping at the first correlation.</li>
	<li>Treat data quality as a named deliverable: freshness and volume checks, schema-change alerting, and lineage that makes it possible to trace any number in any deck back to its source.</li>
	<li>Maintain data documentation and dictionaries that stay current as the stack changes.</li>
	<li>Develop and present reports, charts, graphs, and tables for internal stakeholders, sub-companies, and third parties.</li>
</ul>

Big Data Analyst

PT. Infokes Indonesia atau yang lebih dikenal dengan nama “infoKes” merupakan perusahaan Teknologi Informasi yang fokus bergerak dalam pengembangan produk dan solusi Teknologi Informasi Kesehatan online dan terintegrasi di Indonesia.
Berkat dukungan dan kerjasama tim yang telah memiliki pengalaman kerja dan komitmen lebih dari 10 tahun di Industri Teknologi Informasi dan Kesehatan, Infokes mampu meraih berbagai prestasi di tingkat Nasional dan Internasional, serta berhasil mengimplementasikan produk dan sistemnya lebih dari 1.000 puskesmas aktif sampai saat ini yang bisa diakses secara realtime / online.
Kedepannya, Infokes akan terus melakukan inovasi-inovasi dan riset teknologi seperti M2M (Machine to Machine) dan IoT (Internet of Things) yang bisa saling terintegrasi dengan Infokes Platform untuk mewujudkan Integrated eHealth Solutions di Indonesia.

PT Infokes Indonesia

<ol>
	<li>Perform basic functional software testing (black-box testing, end-to-end user scenario validation) to ensure application features operate correctly alongside data integration.</li>
	<li>Map acceptance criteria and design data quality rules (null constraints, uniqueness, column validity) across multi-table datasets.</li>
	<li>Write complex SQL queries and Python scripts to execute automated data validation, reconciliation, and integrity checks.</li>
	<li>Analyze end-to-end data pipelines and verify data consistency between RDBMS databases (MySQL/PostgreSQL) and BI dashboards (QuickBI).</li>
	<li>Partner with Data Engineers, Data Analysts, and Product Owners to identify data anomalies, perform root-cause analysis, and enforce data quality standards.</li>
</ol>

Data Quality Assurance

AICines is four products in one: a streaming platform, an AI-powered social creation app, an AI creative studio where anyone can generate finished video from a prompt, and a film production house working with Hollywood studios on original content.

We build the generation, rendering and delivery systems that turn a prompt into a finished film. The problems are hard, the surface area is large, and the work ships to creators directly.

Our team is fully remote and globally distributed. We hire across engineering, AI/ML, data, marketing, customer support, and operations — and we work with people at every stage, from students and recent graduates through to senior specialists. Progression here is based on impact rather than tenure.

AICines Inc.

AICines is four products in one: a streaming platform, an AI-powered social creation app, an AI creative studio where anyone can generate finished video from a prompt, and a film production house working with Hollywood studios on original content.

As a Data Analyst Intern, you'll work directly with product, growth, and content data from a live platform with real users. This is not sandboxed work — your analysis will inform decisions the team actually acts on.

Responsibilities: 
- Build and maintain dashboards tracking user behaviour, retention, and engagement 
- Write SQL queries against production data to answer product and growth questions 
- Analyse acquisition channels, creator activity, and content performance 
- Turn raw findings into clear, actionable recommendations for the team 
- Support A/B tests and experiments from design through to readout 
- Contribute to data quality and reporting standards as the platform scales

What you get: 
- Fully remote with flexible working hours 
- Direct mentorship from founders and senior engineers 
- Hands-on exposure to production AI systems at consumer scale 
- Progression based on impact rather than tenure 
- Strong performers considered for full-time roles

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