Analytics Engineer

PPG

Analytics Engineer Analyst at PPG guiding communication between stakeholders and analytics teams. Involved in data modeling, validation, and enhancement of analytics solutions in the SMT.

Posted 4/26/2026full-timeShah Alam • 🇲🇾 MalaysiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AzureSQL

About the role

Key responsibilities & impact

Guide communication between business stakeholders, Data Engineering teams, and analytics consumers
Contribute across the full analytics lifecycle, including identifying and analyzing needs, conducting requirements gathering, and defining scope and goals
Translate business requirements into technical and analytical solutions
Support data modeling and analytics-layer development
Provide ongoing support and enhancement of analytics solutions
Make recommendations for improvements to business processes and reporting dashboards
Operate within the Order-to-Cash (OTC) domain
Validate data accuracy and consistency using SQL-based analysis
Prepare effort and cost estimations for projects and enhancements
Create clear documentation and support knowledge sharing across tools such as DBSchema, Atlan, and Power BI

Requirements

What you’ll need

Bachelor's degree in information management, Data Science, Computer Science, or a related discipline, or equivalent practical experience
Minimum of 3 years of experience in data/systems analysis, design, and implementation
Experience with SQL and data modeling concepts (e.g., data structures, relationships, basic dimensional modeling)
Familiarity with tools and platforms such as Azure Databricks, Power BI, DBSchema (or similar), and data catalog tools like Atlan
Strong understanding of business needs and ability to translate them into data models, mappings, and IT solutions
Experience defining business logic, source-to-target mappings, and supporting data validation processes
Systems and process orientation, with attention to data quality, consistency, and governance standards
We consider experience working in Agile environments (e.g., Azure DevOps, sprint-based delivery, backlog management) an advantage.

Benefits

Comp & perks

Opportunity to grow and develop your career
Fulfulling workplace for employees
Environment for continuous learning
Embraces the ideas and diversity of others

ATS Keywords

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Hard Skills & Tools

SQLdata modelingdata analysisrequirements gatheringbusiness logicsource-to-target mappingsdata validationdimensional modelingcost estimationanalytics solutions

Soft Skills

communicationstakeholder managementproblem-solvingattention to detailorganizational skillscollaborationanalytical thinkingadaptabilityknowledge sharingprocess improvement

Certifications

Bachelor's degree in information managementBachelor's degree in Data ScienceBachelor's degree in Computer Science