Data Analyst R&D
Confirmed on the employer's own hiring board on Nov 9, 2026. First seen by Alion on Nov 5, 2026. Sherwin-Williams Company scores A on the Alion truth index.
Preferred Location: Lelystad - Netherlands
The R&D Continuous Improvement & Data Analyst is responsible for leading and coordinating benchmarking and certification projects that support the development and validation of automotive refinish products. Therefore he/she acts as the subject matter expert for data analytics, benchmarking methodologies and continuous improvement within the function. 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.
You will be part of the automotive R&D TBA team, will play a key role in monitoring and tracking progress of benchmark and certification projects and conducts initiatives to improve and develop test procedures and measuring systems for lab activities in relation to these projects.
You will create reports and presentations of analyzed test data and present these to internal and cross functional teams, provides strategic guidance on data-driven decision making, prioritisation of development activities and performance.
We are seeking an experienced professional who can combine project management, data analytics, continuous improvement, and R&D expertise within a manufacturing/coatings environment.
- Strong project management and planning skills, with the ability to drive multiple projects to successful completion.
- Expertise in data analytics, statistical modelling, and process optimization using tools such as Excel, Minitab, Python, and Dataiku.
- Proven experience applying Lean Six Sigma, DMAIC, and DFMEA methodologies to deliver measurable improvements.
- Ability to transform complex data into clear insights and actionable recommendations.
- Skilled in leading continuous improvement initiatives, process standardization, and cross-functional collaboration.
- Strong problem-solving mindset with experience investigating quality and process-related challenges.
- Effective communicator and team player, capable of influencing stakeholders and fostering knowledge sharing.
- Passionate about coaching, training, and enabling teams to adopt best practices and drive operational excellence.
- Committed to delivering high-quality results while continuously improving performance, efficiency, and innovation.
Ideal Candidate 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.
- 7-10 years of experience in R&D, manufacturing, quality, continuous improvement, or data analytics.
- Strong project management and planning skills, with a proven track record of leading cross-functional initiatives.
- Proficiency in data analysis and statistical tools, including Excel, Minitab, Python, and Dataiku.
- Experience with Design of Experiments (DOE), statistical analysis, and predictive modelling.
- Working knowledge of Lean, Six Sigma, DMAIC, and DFMEA methodologies.
- Ability to transform complex data into actionable insights and business recommendations.
- Experience within the paints, coatings, or related manufacturing industry, including familiarity with testing methods and technical specifications.
- Strong communication and stakeholder management skills, with the ability to present findings, influence decisions, and drive alignment across teams.
- Experience in process standardization, Master Data management, and knowledge-sharing platforms such as SharePoint.
- Ability to coach, train, and support teams in the effective use of systems, tools, and best practices.
What we Offer:
The established salary range for this position is 71.000 - 93.000 euros + 10% Bonus
Work-Life Balance:We value your personal time and well-being.
Career Opportunities:Grow within a truly international business.
Ongoing Training and Support:Continuous learning and development opportunities.
Pay Transparency
The salary range shown refers to base salary only. In addition to this, we offer a broader total reward package which may include bonus or incentive pay, relevant allowances, and a range of competitive benefits. We encourage candidates to consider the full package when evaluating an offer.
Salary is determined using a structured and objective framework, taking into account the role’s responsibilities, required skills and experience, market benchmarks, and internal equity. This ensures pay decisions are fair, consistent, and aligned with our commitment to equal pay and legal compliance.