Analytics Engineer: Transform Data into Actionable Insight

GHD; Makati; Hybrid; PHP 900,000 - 1,200,000; Full time

Job summary

GHD is seeking an Analytics Engineer to join the IS Data & Analytics team. The role centers on data transformation, modeling, quality, and enabling stakeholders with robust analytics capabilities.

Responsibilities include designing data models and Power BI semantic layers across Fabric, writing data tests, and collaborating with data scientists and business analysts to convert raw data into actionable insights. A hybrid work model is offered with a Philippines-based team.

Qualifications

• Bachelor's degree in CS/IS/Analytics or related field.
• 3–5 years in analytics engineering, data engineering, or BI with at least two full-cycle analytics projects.
• Strong SQL and data modelling knowledge (star schemas, fact/dim tables, SCD).
• Hands-on Microsoft Fabric (Lakehouse, Warehouse, Dataflow Gen2) or similar (Databricks, Synapse, Snowflake) with dbt.
• Semantic models and DAX for Power BI (measures, relationships, RLS).
• Git, CI/CD, modular reusable code practices.
• Translate business needs into metric definitions and data contracts for scalable analytics.
• Clear written and verbal communication with technical and business stakeholders.

Responsibilities

• Design, build, and maintain data models and Power BI semantic models across Fabric layers.
• Write tests to check data quality and fix data problems.
• Collaborate with data scientists, analysts to transform raw data into insights.
• Participate in code reviews and improve engineering standards and practices.
• Optimize performance to support scalable, reliable data pipelines.

Skills

SQL

Power BI

Data modeling

Git

CI/CD

Communication

Python

Education

Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field

Tools

Microsoft Fabric

Databricks

Azure Synapse

Snowflake

dbt

Job description

GHD is seeking an Analytics Engineer to join the IS Data & Analytics team. The role centers on data transformation, modeling, quality, and enabling stakeholders with robust analytics capabilities.

Responsibilities include designing data models and Power BI semantic layers across Fabric, writing data tests, and collaborating with data scientists and business analysts to convert raw data into actionable insights. A hybrid work model is offered with a Philippines-based team.