409 junior data analyst English-speaking jobs in Bavaria

footwear concepts and technologies Analyze biomechanical, laboratory, wear-test and product-performance data

for the skies and, as a pioneer in laser communications, enables extremely fast and secure wireless data

technical reports, calculations and presentations Support engineering and design decisions through data-driven

correlation of test results between bench/system-level and ATE to secure high measurement accuracy and data

Good Python programming skills for scientific computing, simulation and data analysis.

bring-up and end-of-line tests, document what fails, and write small Python tools to talk to sensors, log data

power converters and control systems for applications such as PV Solar & Battery Energy Storage Field, Data

interest in pricing, costing and margin analysis Microsoft Excel skills, particularly for calculations, data

for the skies and, as a pioneer in laser communications, enables extremely fast and secure wireless data

For details regarding how we protect your data, please consult the .

Several years of experience in actuarial reserving (ideally motor), data-oriented tasks, regulatory reporting

programming, simulators, tracing), with the ability to define and scale new methodologies, enabling data-driven

engineering projects, or student teams) Programming skills in Julia, Python or MATLAB/Simulink for modeling, data

Engineering data the whole team can rely on: CAD models, drawings, versions. You own it.

requirements management, and interface control Have experience with requirements management or engineering data

Solid knowledge of German employment law, HR processes and data protection.

Verify the mappings of local accounts to group-wide accounts and perform data quality and posting checks

information reflects the anticipated base salary range for this position based on current national data

From experiment design to test execution, data analysis to knowledge transfer, you take responsibility

You analyze complex situations, identify root causes, and make sound decisions based on data and technical