Operations Manager, Benchmarking
Commure
NumpyPandasPythonSQL
Job Level
Mid-LevelSenior
Tech Stack
ERPNumpyPandasPython
About the role
- Work closely with Customer Success and Product Development teams to help manufacturing companies generate value from their data using IQA
- Engage with industrial customers to prepare, validate and integrate customer data
- Analyze, understand, and process manufacturing process data to enable smooth onboarding
- Create customer value by exploring customer usage patterns to improve the software
- Develop robust data processing pipelines and workflows for onboarding and continuous data integration
- Understand customer requirements and plan for continuous data ingestion and integration for scalability
- Simulate manufacturing processes to generate synthetic datasets for demos, testing, and validation
Requirements
- A genuine enthusiasm for driving the digital transformation of manufacturing and contributing to more sustainable production through innovative solutions like IQA
- Excellent organizational skills and the ability to work independently with a proactive mindset and strong sense of ownership
- Strong Python skills, including experience with data science and scientific computing libraries (e.g. pandas, NumPy, simPy)
- Solid background in data analysis, processing, and transformation, as well as familiarity with databases and building data pipelines
- Knowledge of ERP systems or IIoT platforms is a plus
- Knowledge of manufacturing processes is a bonus
- Willingness to travel occasionally for customer meetings and workshops
- Master's degree in Computer Science, Engineering, Machine Learning or related technical fields
- Excellent language skills (English and German C1)
