Senior Quality Engineer (Data Analyst)

Emerson Electric; Bayan Lepas; On-site; MYR 70,000 - 95,000; Full time

Job summary

A leading company seeks a Senior Quality Engineer skilled in Data Analytics to enhance quality standards. The role involves driving improvement initiatives using data, collaborating across departments, and mentoring junior staff. A competitive benefits package, including sponsorship opportunities, promotes diversity and work-life balance.

Benefits

Comprehensive medical coverage

Flexible remote work policies

Support for diversity, equity, and inclusion

Commitment to employee development

Qualifications

• 5+ years in Quality Engineering focused on data analytics.
• Experience with quality standards like ISO 9001, Six Sigma.
• Ability to analyze large datasets for quality improvements.

Responsibilities

• Develop robust quality strategies leveraging data analytics.
• Analyze trends and identify opportunities for improvement.
• Lead statistical analysis and mentor junior engineers.

Skills

Data Analytics

Statistical Analysis

Collaboration

Communication

Education

Bachelor’s or Master’s degree in Engineering, Data Science, Statistics

Tools

SQL

Python

R

Power BI

Tableau

Job description

We are seeking a highly skilled Senior Quality Engineer with deep expertise in Data Analytics to lead quality improvement initiatives across our product lifecycle. The ideal candidate will blend strong analytical capabilities with a deep understanding of quality engineering principles, driving data-informed decision-making and root cause analysis. This role is critical in shaping how we use data to maintain and exceed our quality standards. Data analytic skills will play a vital role in refining data analysis processes, developing foundational datasets and metrics, and ensuring our data infrastructure supports robust analytical capabilities.

The Quality Data Analyst role offers global exposure within NI and to our customers, enabling the Quality Team to be Best in Class in reaching business goals and objectives through driving effectiveness and efficiencies via actionable improvements to product quality and customer experience.

This role reports to the Global Quality Department and collaborates extensively with Business Units, Global Services, Manufacturing, and R&D to meet customer expectations.

Responsibilities:

• Develop and implement robust quality strategies using data analytics tools and methodologies.
• Analyze manufacturing and field performance data to identify trends, patterns, and opportunities for quality improvement. Extract, transform, and analyze large data sets.
• Develop and track key quality metrics, dashboards, and indicators to support continuous improvement. Create scalable data, reporting, and analytics solutions.
• Drive root cause analysis and corrective actions using frameworks like Six Sigma, DMAIC.
• Build effective collaborations with team members and stakeholders.
• Work with cross-functional teams to resolve quality issues and support new product development.
• Maintain clear communication with stakeholders regarding project status, next steps, and issue resolution.
• Lead statistical analysis and modeling for process capability, reliability, and yield enhancement.
• Support audit processes with data-driven evidence and validate corrective actions.
• Mentor junior engineers and analysts in data quality, visualization, and statistical methods.

Requirements:

• Bachelor’s or Master’s degree in Engineering, Data Science, Statistics, or related fields.
• 5+ years in Quality Engineering with a focus on data analytics.
• Proficiency in SQL, Python, R, or similar tools.
• Experience with data visualization platforms (Power BI, Tableau, etc.).
• Knowledge of quality standards (ISO 9001, Six Sigma, FMEA, SPC, DOE).
• Ability to analyze large datasets and translate findings into quality improvements.
• Strong communication and collaboration skills.
• Knowledge of Snowflake platform is a plus.

Preferred Qualifications:

• Six Sigma Black Belt or equivalent.
• Experience in regulated industries like Semiconductor, Medical Devices, Aerospace, Automotive.
• Knowledge of machine learning for predictive analytics.
• Experience with ERP and MES systems (SAP, Oracle, FactoryTalk).

Expectations:

• Passion for dynamic environments, problem-solving, and innovation.
• Proactive in analytics support for leadership and business forums.
• Ability to define issues, gather requirements, and communicate insights effectively.
• Propose innovative analytics solutions and drive process efficiencies.
• Perform data engineering tasks for scalable, reusable datasets.

Our Offer:

Join us to make a difference through your work. Our compensation and benefits are competitive, including comprehensive medical coverage. We support diversity, equity, and inclusion, welcoming foreign nationals with sponsorship opportunities. We promote work-life balance through flexible remote work policies. Safety is our priority, and we strive to provide a safe working environment. We are committed to employee development and fostering an inclusive, proud workplace.