Analytics Engineer - Data Lakehouse & BI Dashboards Hybrid

Randstad Malaysia; Kuala Lumpur; Hybrid; MYR 120,000 - 180,000; Full time

Benefits offered by this job

Comprehensive corporate medical보험

Hybrid work schedule

Job summary

Randstad Malaysia invites an Analytics Engineer to bridge data engineering and analytics within a multinational insurance setting. You will transform raw data into reliable, query-ready models and scalable BI assets.

Responsibilities include designing scalable ELT/ETL pipelines for Data Lakehouse/Warehouse, translating domain logic into dimensional models, and delivering executive dashboards using Power BI and Tableau. Hybrid work: 3 days in‑office, 2 days remote.

Qualifications

• 3–6 years hands‑on experience in analytics engineering, data engineering, or advanced BI capacity.
• Proven track record of architecting, deploying, and maintaining data models within modern Data Warehouse or Data Lakehouse ecosystems.
• Demonstrated experience delivering enterprise‑grade reporting and dashboard solutions (Power BI / Tableau) to non‑technical and executive stakeholders.
• Strong familiarity with data modelling techniques (e.g., Kimball methodology, star/snowflake schemas, dimensional modelling).
• Exposure to the insurance or broader financial services (FSI) sector is an added advantage.

Responsibilities

• Design, develop, and optimize scalable ELT/ETL pipelines for Data Lakehouse and Data Warehouse architectures.
• Translate insurance domain logic into structured dimensional models, data marts, and clean datasets.
• Build and manage high‑impact dashboards and visual reports using Power BI and Tableau for senior management.
• Collaborate with data engineers, product owners, and business analysts to uphold data governance, testing, and documentation across the data lifecycle.
• Work arrangement: 3 days in‑office, 2 days remote (hybrid schedule).
• Leverage best practices for data quality, lineage, and documentation.

Skills

Advanced SQL

Data modelling

Dashboarding

Data governance

Education

Bachelor’s or Master’s Degree in Computer Science, Data Science, IT, Software Engineering, Statistics

Tools

Power BI

Tableau

Git

CI/CD

Airflow

Databricks

Snowflake

Azure

Microsoft Fabric

AWS

Job description

Randstad Malaysia invites an Analytics Engineer to bridge data engineering and analytics within a multinational insurance setting. You will transform raw data into reliable, query-ready models and scalable BI assets.

Responsibilities include designing scalable ELT/ETL pipelines for Data Lakehouse/Warehouse, translating domain logic into dimensional models, and delivering executive dashboards using Power BI and Tableau. Hybrid work: 3 days in‑office, 2 days remote.