Principal Data Analytics & Operations Engineer

Aumovio SE; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

AUMOVIO AESS is seeking a Principal / Senior Engineer in Data Analytics & Management to drive manufacturing intelligence and analytics across the semiconductor lifecycle.

You will own the analytics platform, define roadmap, and lead digital transformation, working with global teams to raise quality and efficiency.

The role requires strong technical skills in SQL, Python, and tools like Databricks, JMP, Power BI, and a track record in data-driven manufacturing.

Qualifications

• Bachelor's/Master's/PhD in Electrical Engineering, Electronics Engineering, Computer Science, Data Science, Statistics, or related fields.
• Minimum 5+ years (Senior Engineer) or 8+ years (Principal Engineer) of semiconductor industry experience in data analytics, analytics platforms and data architecture.
• Experience analyzing semiconductor manufacturing, yield, test, reliability, and quality datasets.
• Hands-on experience with STDF, ATDF, MES, manufacturing databases, and semiconductor data ecosystems.
• Self-motivated, hands-on team player with a strong ownership mindset, capable of delivering results in a dynamic and rapidly growing startup environment.
• Strong collaboration, communication, and interpersonal skills, with the ability to work effectively across global and multicultural teams.
• Excellent analytical and problem-solving skills, combining data-driven decision-making with sound engineering judgment.

Responsibilities

• Own the test analytics strategy covering Wafer Sort (WS), Burn-In (BI) and Final Test (FT).
• Develop advanced analytics solutions for yield learning, outlier detection, excursion monitoring, statistical screening, and quality monitoring.
• Support implementation and optimization of quality screening methodologies including PAT, Statistical Bin Limits (SBL), dynamic guard-banding, clustering, and test escape prevention.
• Collaborate with Product Engineering and Test Engineering teams to improve outgoing quality performance and reduce DPPM.
• Own the manufacturing analytics platform ecosystem, e.g. JMP, Power BI, Databricks, and yield related tools; define roadmap and adoption plans.
• Establish best practices for analytics development, data governance, reporting standards, and engineering productivity.
• Provide technical leadership for tool evaluations, vendor engagement, implementation, and user training.
• Define system requirements and integration strategies between Foundries, OSATs, MES, Quality Management Systems, and analytics platforms.
• Drive standardization of manufacturing data flows, system interfaces, and engineering workflows.
• Develop operational tools to support NPI, qualification, production ramp, and mass production activities.
• Own end-to-end semiconductor manufacturing data ecosystem across wafer, assembly, test and quality operations.
• Design and manage manufacturing data solutions, including databases, ETL pipelines, dashboards, cloud architectures, and automated reporting systems.
• Develop automation solutions using Python, SQL, Power BI, VBA, and modern analytics technologies to improve engineering productivity.

Skills

Analytical mindset

Ownership mindset

Cross-functional collaboration

Problem solving

Education

Bachelor's/Master's/PhD in EE/CS/Data Science

Tools

Databricks

JMP

Power BI

Tableau

SQL

Python

Excel/VBA

Job description

AUMOVIO AESS is seeking a Principal / Senior Engineer in Data Analytics & Management to drive manufacturing intelligence and analytics across the semiconductor lifecycle.

You will own the analytics platform, define roadmap, and lead digital transformation, working with global teams to raise quality and efficiency.

The role requires strong technical skills in SQL, Python, and tools like Databricks, JMP, Power BI, and a track record in data-driven manufacturing.