Data Analytics Engineer - Manufacturing Ops

Western Digital Corp.; Lumban; On-site; PHP 300,000 - 420,000; Full time

Benefits offered by this job

Free medical examination

Structured onboarding & mentorship

Job summary

Western Digital Corp. in the Philippines (PHO) invites applications for the Early Career Talent (ECT) — Data Analytics / Computer Science role.

You will join the Head Backend BU under the BEST Program, bridging manufacturing operations with data-driven decision-making and building dashboards for KPIs. You will collect and analyze process data, develop reports in Python/SQL/Power BI, and collaborate with engineers to translate insights into improvements, participating in milestones and

Qualifications

• Bachelor's degree in CS/DS/IT/Statistics/Engineering with programming focus.
• Fresh graduate or up to 1 year of work experience.
• Proficiency in Python and/or SQL; experience with data visualization.

Responsibilities

• Develop operational dashboards and data visualizations for manufacturing KPIs.
• Assist in data collection, cleaning, and analysis of process data.
• Build and maintain reports using Python, SQL, Power BI.
• Collaborate with engineers to translate data insights into improvements.
• Participate in BEST Program milestones and automation of reporting.

Skills

Python

SQL

Data visualization

Dashboard development

Analytical storytelling

Cross-functional teamwork

English communication

Education

Bachelor's degree in Computer Science, Data Science, Information Technology, Statistics, or Engineering

Tools

Power BI

Tableau

matplotlib

SQL Server

MySQL

Job description

Western Digital Corp. in the Philippines (PHO) invites applications for the Early Career Talent (ECT) — Data Analytics / Computer Science role.

You will join the Head Backend BU under the BEST Program, bridging manufacturing operations with data-driven decision-making and building dashboards for KPIs. You will collect and analyze process data, develop reports in Python/SQL/Power BI, and collaborate with engineers to translate insights into improvements, participating in milestones and