Data Modelling & Analytics Engineer – MISC
Role Summary
The Data Modelling & Analytics Engineer is responsible for engineering end-to-end analytics solutions. This role involves designing scalable data models and production-grade architectures to deliver meaningful insights that drive effective business decisions.
Job Description
As a Data Modelling & Analytics Engineer, you will work in a dynamic environment focused on data quality and platform resilience. You will collaborate with stakeholders to translate strategic objectives into data architecture requirements and develop robust analytics solutions.
Key Responsibilities:
- Design scalable data models and production-grade architectures.
- Ensure data quality and platform resilience.
- Partner with stakeholders to translate strategic objectives into data architecture requirements.
- Develop and maintain enterprise-grade data models.
- Create robust ELT/ETL pipelines.
- Enable analytics and insights delivery through advanced analysis techniques.
- Utilize visualization techniques to present data insights.
Job Requirements
Fresh graduate can be considered for this role.
Proven track record in developing cloud-based data solutions (AWS/Azure/GCP/Alibaba Cloud).
Extensive hands-on experience in big data management and data governance.
Strong team player with collaboration skills.
Expertise in data analytics, particularly in finance and management reporting.
Bachelor's degree in relevant fields; Master's or professional qualifications are advantageous.
Knowledge in statistics and data analysis.
Quick Info
Company
MISC
Location
Kuala Lumpur
Salary
—
Skills Required
9 skills
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Required Skills
Data Modelling
Analytics
Cloud Solutions
Big Data Management
Collaboration
Data Governance
SQL
Python
Data Visualization
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