Data Analysis jobs in Indonesia
AML Compliance Analyst – Reporting and Monitoring
Manulife
Water Program Lead
World Resources Institute (WRI) Indonesia
Data Scientist
Manulife
Food Mass Market Senior Business Analyst
Gojek Group
Discover more opportunities than anywhere else. Find more jobs nowSr. Data Scientist
Devoteam
Head of Product (Anywhere)
Medium
Connect with headhunters to apply for similar jobsHead of Product (Anywhere)
Jobgether
Technical Marketing Specialist (Companion Animal)
Merck Gruppe - MSD Sharp & Dohme
Research Manager
PT Alternative Media Group
Alibaba Cloud Intelligence-Channel Operations Manager-Jakarta, Indonesia
Alibaba Cloud
Workforce Coordinator
Concentrix
Indonesia Field Researcher
Environmental Justice Foundation Charitable Trust
Intergrated Marketing Senior Associate
Cermati Fintech Group
Sales Operations & CRM Specialist
Merck
Lowongan Data Analyst Kopi Kapal Api Pemalang Tahun 2025 (Apply Now)
PT Santos Jaya Abadi
People Intelligence Specialist
PT Philips Industries Batam
Senior Associate - Tax - Merger and Acquisition Team
PwC
Business Operation & Strategy Manager
Evermos
Associate, Promotion Mechanics Operations-Jakarta
LAZADA.CO.ID
Associate, Promotion Mechanics Operations-Jakarta
Lazada
Data Scientist
Job summary
A leading telecommunications company in Indonesia seeks a Data Scientist for managerial-level work in data analysis and machine learning. The role involves creating data mining architectures and applying advanced data science principles to enhance various business aspects such as market economics and supply chain management. Ideal candidates will possess strong collaboration skills and a profound understanding of business intelligence practices. This permanent position offers the chance to influence strategic decisions through data-driven insights.
Qualifications
- Experience in data mining architectures/models/protocols.
- Ability to apply ML and AI techniques to business problems.
- Strong analytical skills in various business areas.
Responsibilities
- Conduct data analysis to identify trends.
- Implement ML techniques to derive business insights.
- Collaborate across departments to improve business outcomes.
Skills
Location: ID
Level: Managerial
Employment Status: Permanent
Department: Group Product & Offering Strategy
- Creating data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets
- Analysis may be applied to various areas of the business (e.g., Market Economics, Supply Chain, Marketing/Advertising, Scientific Research, etc.)
- Researching and applying knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions
- Applying and/or implementing Machine Learning (ML) or other Artificial Intelligence (AI) techniques to solve business problems and/or derive actionable business insights
- At higher career levels, may conduct scientific research projects with the goal of breaking new ground in data analytics
- Collaborating
- Continuous Improvement
- Business Awareness
- Planning and OrganizingQuality Orientation
- Analysis
- Applied Learning
- Building Customer Loyalty
- Business Analysis and Decision Support
- Consulting, Transformation and Enablement
- Database Administration and Performance
- Machine Learning Engineering and MLOps
- Cloud Platforms and Infrastructure-as-Code
- Business Intelligence and Data Products
- Performance Monitoring and Site Reliability
- Data Governance, Quality and Stewardship
- Advanced Analytics and Data Science
- Research, Innovation and Emerging Tech
- Testing, QA and Data Validation
- Security, Privacy and Compliance (Data)
- Data Engineering and Integration Pipelines
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.