We are tackling global plastic pollution – and you will be part of the solution!
At traceless, we develop and produce a new generation of materials designed to integrate harmoniously into nature instead of leaving harmful traces. Our patented technology transforms agricultural residues into traceless®: a plastic-free, home-compostable and bio-based granulate that works in harmony with nature – not against it.
As part of our team, you will contribute to our bold mission: replacing plastic at scale and building a climate-neutral, circular materials industry. More than just a job, this is your opportunity to join a science-driven, purpose-led and pioneering team determined to create real change.
At traceless, we develop and produce a new generation of materials designed to integrate harmoniously into nature instead of leaving harmful traces. Our patented technology transforms agricultural residues into traceless®: a plastic-free, home-compostable and bio-based granulate that works in harmony with nature – not against it.
As part of our team, you will contribute to our bold mission: replacing plastic at scale and building a climate-neutral, circular materials industry. More than just a job, this is your opportunity to join a science-driven, purpose-led and pioneering team determined to create real change.
As Data Analyst (f/m/x) for Product and Process Development, your mission will be to analyse and connect complex technical data across materials, processes, product features, and production conditions. Your insights will drive data-informed decisions in product development, quality improvement, and process optimisation, accelerating the development and scaling of traceless’ sustainable materials and processes. While your main focus will be to support product development, you will also contribute to process optimisation, quality improvement and the development of traceless’ technical AI strategy and data architecture. In this role, you will also oversee the management and continuous improvement of our internal data platform and data structures, ensuring structured data capture, consistency and effective use across current and future plants and laboratories.
Your responsibilities:
- Data Collection & Preparation: Collect, structure, clean and analyse technical data from product development, process development, quality testing and production.
- Correlation & Insight Analysis: Identify correlations between raw materials, formulations, process parameters, measured properties, and end-product performance.
- Product and Process Development Support: Support product and process development by turning experimental and technical data into actionable insights for formulation and application development, as well as process optimisation.
- Data Modelling & Dashboards: Develop and maintain internal data models and dashboards for product- and process-related insights.
- Cross-Functional Collaboration: Collaborate closely with product developers, process engineers, and quality specialists to translate data into actionable improvements and strategies.
- Experimental Design & Evaluation: Support experimental design through statistical planning and post-trial data evaluation.
- Data Platform Management: Manage and further develop our internal data platform, including the structuring, documentation and quality of technical data, in close collaboration with relevant stakeholders.
- Workflow Optimisation: Build and refine workflows for efficient data logging, visualisation, and documentation across lab, pilot and production environments.
- Build and maintain dashboards, reports and data models to support development, troubleshooting and decision-making.
- Data Consistency & Traceability: Help improve data consistency, traceability and usability across laboratory, pilot and production environments.
- Data Architecture & AI Strategy: Contribute to the creation of a long-term technical data architecture and support the development of a practical AI strategy to integrate and technical data from development and production.
- Documentation & Communication: Prepare clear documentation, visualisations and presentations that translate complex data into understandable conclusions.
- Process & Quality Improvement Projects: Support cross-functional projects aimed at improving product performance, process stability and product quality.