We are seeking a highly skilled Senior Quality Engineer with significant 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 will report to the Global Quality Department and will be engaged extensively with the Business Units, Global Services, Manufacturing, and R&D to ensure that customers’ expectations are met!

In This Role, Your Responsibilities Will Be: 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. Extracting, transforming, and analyzing large sets of data Design and monitor key quality metrics, dashboards, and KPIs to support continuous improvement initiatives. Developing scalable data / reporting / analytics solutions  Drive root cause analysis and corrective action processes using Six Sigma, DMAIC, or similar frameworks. Building effective partnerships with customers and team members Collaborate with multi-functional teams (Engineering, Manufacturing, Supply Chain, Customer Support, R&D) to resolve quality issues and support new product development. Provide regular communication to collaborators and customers through formal communication plans to assure clarity on status, next steps, and resolution of issues.  Lead statistical analysis and modeling for process capability, reliability, and yield improvement. Support audit processes by providing data-driven evidence and corrective action validation. Mentor junior quality engineers and data analysts on standard processes in data quality, visualization, and statistical methods
  For This Role, You Will Need: Bachelor’s or Master’s degree in Electrical Engineering, Material Science, Chemical Engineering, Physics, Chemistry, Data Science, Statistics, or related field. 5+ years of experience in Quality Engineering, with a strong emphasis on data analytics. Proficient in SQL, Python, R, or other data analysis tools. Experience with data visualization platforms (e.g., Power BI, Tableau, etc.). Solid knowledge of quality standards and tools (e.g., ISO 9001, Six Sigma, FMEA, SPC, DOE). Proven ability to analyze large datasets and translate findings into actionable quality improvements. Excellent communication and collaboration skills with both technical and non-technical stakeholders. Strong analytical and problem-solving skills  Knowledge of Snowflake warehousing Platform is a plus. Excellent communication skills  Ability to lead and drive issue management 
  Preferred Qualifications That Set You Apart: Six Sigma Green Belt / Black Belt or equivalent certification. Experience in regulated industries (e.g., Semiconductor, electronics, medical devices, aerospace, automotive). Familiarity with machine learning techniques for predictive quality analytics. Familiar with working with large databases (ex. Snowflake) Experience with ERP and MES systems (e.g., SAP, Oracle).

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.

 

We recognize the importance of employee wellbeing. We prioritize providing flexible, competitive benefits plans to meet you and your family’s physical, mental, financial, and social needs. We provide a variety of medical insurance plans, with dental and vision coverage, Employee Assistance Program, 401(k), tuition reimbursement, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.