Role Overview
The Data Analyst R&D is responsible for leading and coordinating benchmarking and certification projects that support the development and validation of automotive refinish products. The role combines project management, experimental design, data analytics, predictive modelling, and continuous improvement methodologies to ensure efficient execution of testing programs and generation of high-quality technical data.
What You Will Do
You will create reports and presentations of analyzed test data and present these to internal and cross-functional teams, provide strategic guidance on data-driven decision making, prioritization of development activities, and performance.
Why It Might Be a Fit
Ideal candidate is a data-driven and results-oriented professional with strong leadership capabilities, capable of driving operational excellence, leading continuous improvement initiatives, and supporting innovation within a fast-paced R&D environment.
Requirements
- Strong project management and planning skills
- Expertise in data analytics, statistical modelling, and process optimization
- Proven experience applying Lean Six Sigma, DMAIC, and DFMEA methodologies
- Ability to transform complex data into clear insights and actionable recommendations
- Skilled in leading continuous improvement initiatives, process standardization, and cross-functional collaboration
To apply for this job please visit ejhp.fa.us6.oraclecloud.com.
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