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Employment: Unconfirmed

What you’ll bring

Core experience

Bachelor's degree in Engineering, Data Science, Statistics, Physics, Chemistry, Material Science, or a related technical discipline, or equivalent combination of education, training, and relevant experience
Ability to manage priorities, influence outcomes, and drive issue resolution across teams
Experience in semiconductor, electronics, life sciences, medical device, aerospace, automotive, or other highly regulated industries
Experience in quality engineering, quality analytics, manufacturing analytics, data analytics, or a related field
Familiarity with machine learning, predictive analytics, or advanced statistical modeling techniques
Experience working with data analysis tools such as SQL, Python, R, or similar technologies

Qualification wording

Bachelor's degree in Engineering, Data Science, Statistics, Physics, Chemistry, Material Science, or a related technical discipline, or equivalent combination of education, training, and relevant experience

Ability to manage priorities, influence outcomes, and drive issue resolution across teams

Experience in semiconductor, electronics, life sciences, medical device, aerospace, automotive, or other highly regulated industries

Experience in quality engineering, quality analytics, manufacturing analytics, data analytics, or a related field

Familiarity with machine learning, predictive analytics, or advanced statistical modeling techniques

Experience working with data analysis tools such as SQL, Python, R, or similar technologies

Tools in this posting

Python
R
SQL
SAP
Snowflake
Tableau
Power BI

Source

- Experience in quality engineering, quality analytics, manufacturing analytics, data analytics, or a related field - Experience working with data analysis tools such as SQL, Python, R, or similar technologies - Experience using data visualization and reporting platforms such as Power BI, Tableau, or similar tools

- Familiarity with machine learning, predictive analytics, or advanced statistical modeling techniques - Experience working with ERP, MES, or enterprise data platforms such as SAP, Oracle, Snowflake, or similar technologies - Experience developing scalable reporting, analytics, or business intelligence solutions

- Experience working with data analysis tools such as SQL, Python, R, or similar technologies - Experience using data visualization and reporting platforms such as Power BI, Tableau, or similar tools - Knowledge of quality methodologies and tools such as ISO standards, Six Sigma concepts, FMEA, SPC, DOE, or comparable frameworks

Job description

View original posting ↗

In This Role, Your Responsibilities Will Be:

Develop and implement quality improvement strategies supported by data analytics, metrics, and continuous improvement methodologies
Analyze manufacturing, operational, and field performance data to identify trends, opportunities, and actionable recommendations
Extract, transform, and analyze large datasets to support business and quality objectives
Design, develop, and maintain dashboards, reports, key performance indicators, and scalable analytics solutions
Lead root cause investigations and support corrective and preventive actions through structured problem-solving approaches
Build strong partnerships with stakeholders and collaborate across functions to address quality challenges and support product development initiatives
Communicate findings, progress, and recommendations clearly to technical and non-technical audiences
Apply statistical analysis and modeling techniques to improve process capability, reliability, and product performance
Support audit activities through data-driven insights and validation of improvement actions
Contribute to the development of reusable datasets, reporting frameworks, and analytics processes that enable long-term business value

Who You Are:

You build collaborative relationships and work effectively across diverse teams to achieve shared goals. You use data, facts, and sound judgment to make quality decisions and solve complex problems. You adapt to changing priorities, remain focused in ambiguous situations, and seek innovative ways to improve processes and outcomes. You communicate openly and effectively, translate insights into action, and consistently deliver meaningful results that support customers, colleagues, and business objectives.

For This Role, You Will Need:

Bachelor's degree in Engineering, Data Science, Statistics, Physics, Chemistry, Material Science, or a related technical discipline, or equivalent combination of education, training, and relevant experience
Experience in quality engineering, quality analytics, manufacturing analytics, data analytics, or a related field
Experience working with data analysis tools such as SQL, Python, R, or similar technologies
Experience using data visualization and reporting platforms such as Power BI, Tableau, or similar tools
Knowledge of quality methodologies and tools such as ISO standards, Six Sigma concepts, FMEA, SPC, DOE, or comparable frameworks
Ability to analyze complex datasets and translate findings into practical business improvements
Strong communication, collaboration, and stakeholder engagement skills
Demonstrated problem-solving and analytical thinking capabilities
Ability to manage priorities, influence outcomes, and drive issue resolution across teams

Preferred Qualifications That Set You Apart:

Experience in semiconductor, electronics, life sciences, medical device, aerospace, automotive, or other highly regulated industries
Familiarity with machine learning, predictive analytics, or advanced statistical modeling techniques
Experience working with ERP, MES, or enterprise data platforms such as SAP, Oracle, Snowflake, or similar technologies
Experience developing scalable reporting, analytics, or business intelligence solutions
Exposure to global, cross-functional business environments and customer-focused quality initiatives

Our Culture & Commitment to You:

At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams working together are key to driving growth and delivering business results.

By joining Emerson, you will have the opportunity to make a meaningful impact through your work while collaborating with talented colleagues across a global organization. We are committed to creating an inclusive environment where individuals are welcomed, trusted, empowered, and supported in achieving their career goals. Through professional development opportunities, collaborative innovation, flexible ways of working where applicable, and a strong focus on safety and well-being, we help our employees grow while contributing to solutions that make the world healthier, safer, smarter, and more sustainable. Emerson values integrity, innovation, collaboration, inclusion, and continuous learning, and we welcome individuals with diverse experiences and perspectives to apply.

Your next step

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Source & posting history

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Pay

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Location & working pattern

DEBRECEN, HAJDÚ BIHAR, Hungary

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Open source at hdjq.fa.us2.oraclecloud.com ↗Read the full description ↓

Status in our records: Active
First seen by us: Sep 12, 2026
Recorded sightings: 33
Last seen by us: Oct 9, 2026

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Quality Engineer / Data Analyst