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Process Analyst (PPI)


Continental Brasil


Location

Ponta Grossa, PR | Brazil


Job description

Opportunity also for people with disabilities

The ContiTech Sector develops, manufactures and markets intelligent, multi-material industrial and service solutions that respect the environment, making mining, railway engineering, the automotive industry and other important sectors safer and more convenient. Knowing our innovations and helping to make the world a better and safer place is what motivates us.Knowing our innovations help to make the world a better and safer place is what drives us.

Responsibilities and assignments

Responsible for ramp-up of new products and process, considering recipe, reinforcements, alternative raw materials, compound, cost reduction, new products and process evaluation and approval. Focused on management of: projects, changes, competitiveness and local portfolio.

Manage product specific ramp-up or change projects for e.g. new products, new materials, new equipment or new / relocated production processes;

Translate business / project / product specific requirements into tangible impacts on plant (e.g. invest, capacity, capability) and assess plant readiness;

Update of product specific production specifications (i.e. production process characteristics and parameters) according to standards;

Update of product specific production flow chart, production control plan and work;

Perform product specific testing and start-up of production process and pre-series production and handover to production;

Update of product specific process FMEA;

Identify and implement product optimization potential (e.g. raw material replacement) in running;

Proactive solving of quality issues regarding customer complaints and reject rate (in close cooperation with Q);

Identify and implement technical production processes optimization potential regarding quality, efficiency and capability.

Initiation and implementation of continuous improvement by applying CBS methods and training measures.

Requirements and qualifications

Degree in Computer Science, Mathematics, Engineering or related areas;

Experience in data analysis, preferably in Business Intelligence (BI) environments;

Advanced knowledge in SQL, Excel, Power BI, and SAP;

Advanced English.

Additional information

Lean Manufacturing knowledge;

Advanced knowledge in Grafana and Python;

Rubber manufacturing Knowledge;

Worked with international teams.

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