Job Description

Analytics Engineers are the bridge between data engineering and data analysis. They transform raw data into trusted, analytics-ready datasets that empower analysts, data scientists, and business stakeholders to focus on insights and strategy. Think of Analytics Engineers as owning the

user experience (UX) of data

--ensuring it's well-organized, reliable, and easy to use.

This is a

high-visibility role

where you'll partner closely with leaders across Finance, Product, and Operations to ensure they have timely, accurate, and trusted data to drive critical decisions. You'll also play a central role in a hub-and-spoke BI model: maintaining centralized governance and standards, while enabling distributed analysts across the business to explore and self-serve with confidence.

Key Responsibilities

Data Transformation & Modeling:

Build analytics-ready datasets using a layered approach (Medallion Architecture - Bronze, Silver, Gold) in Databricks.

Delta Live Tables (DLT):

Design, manage, and optimize DLT pipelines to deliver reliable and automated transformations at scale.

Enable Self-Service:

Deliver curated, governed datasets in BI tools (Looker, Omni.co, etc.) to empower analysts and business stakeholders.

Data Quality Monitoring:

Implement validation and monitoring processes to ensure accuracy, consistency, and trust in data across all layers.

Governance & Documentation:

Define and maintain data naming conventions, dictionaries, and semantic models for standardization.

Access & Security:

Establish and enforce dataset access controls that balance governance with usability.

Cross-Functional Collaboration:

Work closely with Finance, Product, and Operations leaders, as well as analysts, data scientists, and engineers, to enrich semantic models and accelerate time-to-insights.

Qualifications

Required:

Advanced SQL skills and expertise in

data modeling

(star schema, dimensional modeling, semantic layers). Hands-on experience with

Databricks

, including

Delta Live Tables (DLT)

. Experience building datasets with a

layered architecture

(Medallion: Bronze, Silver, Gold). Familiarity with

ETL/ELT tools

(dbt, Fivetran, Airflow, or similar). Experience with

BI platforms

(Looker, Power BI, Tableau, or Omni.co; Looker and Omni preferred). Strong understanding of

data governance

and

self-service enablement

. Strong communication and collaboration skills, especially when engaging non-technical business leaders. Proficiency with

Git

and modern data stack practices.
Job Type: Full-time

Pay: RM18,000.00 - RM19,000.00 per month

Benefits:

Health insurance Maternity leave Opportunities for promotion Professional development
Work Location: In person