ZEISS Group

Data Analysis Engineer

Guangzhou Full time

Your Role:

  • Maintain existing databases and data flows, focusing on efficient and high-performance data access while ensuring high data quality
  • Design structured reports and shopfloor visualizations, including data preparation and transformation
  • Develop creative solutions to enable full traceability, even during early prototyping phases without full IT support
  • Define IT and data requirements, including modeling the corresponding business and process flows, with a deep understanding of existing data architecture and logic
  • Collaborate closely with operations teams to identify areas for data driven improvements
  • Provide consulting to the business side on data-related questions and offer guidance in a pragmatic, problem-solving manner
  • Align with a global cross-functional team and partner with other departments (Quality, Logistics, Supply Chain etc.) to ensure end-to-end data integration

Your Profile:

  • Successfully completed university degree (Bachelor or higher) in Engineering, Computer Science, or a comparable discipline
  • Advanced proficiency in SQL (e.g. T-SQL, Azure Databricks SQL) or comparable database language for efficient data storage and access, ensuring optimal performance and data integrity
  • Expertise in Python (e.g. Pandas, Numpy, Matplotlib, APIs..), with an ability to apply various data techniques from log file processing, data pipelines to actual statistical analysis and visualization
  • Knowledge of MS Power BI for the creation of structured reports
  • Willingness to learn and adopt new technologies as needed
  • Strong affinity for operational processes and the ability to effectively bridge them to their data footprint for driving data driven improvements
  • Excellent communication skills and the ability to collaborate and work effectively in a global team, with a hands-on mentality in an agile environment
  • Fluent in English, both spoken and written

1

Your ZEISS Recruiting Team