Data Analyst (f/m/div.)

Analyze historical data to identify trends, anomalies, and performance drivers. Translate data-driven insights into actionable recommendations to support diagnostics and business decisions for product development. Design and build practical algorithms based on data thresholds and business heuristics to support decision-making. Provide dedicated data-driven support for Engineering Development, including punctual analysis and defining data requirements. Analyze customer ticket data to identify patterns and opportunities for product improvement. Collaborate closely with software engineers, product managers, and other stakeholders to embed data insights into the development lifecycle. Create and present compelling reports and data stories to communicate findings effectively to both technical and non-technical audience. Work closely with software engineers, product managers, and data scientists, data engineers and hardware engineers.

Responsibilities

Analyze historical data to identify trends, anomalies, and performance drivers; Translate data-driven insights into actionable recommendations to support diagnostics and business decisions for product development; Design and build practical algorithms based on data thresholds and business heuristics to support decision-making; Provide dedicated data-driven support for Engineering Development, including punctual analysis and defining data requirements; Analyze customer ticket data to identify patterns and opportunities for product improvement; Collaborate closely with software engineers, product managers, and other stakeholders to embed data insights into the development lifecycle; Create and present compelling reports and data stories to communicate findings effectively to both technical and non-technical audience; Work closely with software engineers, product managers, and data scientists, data engineers and hardware engineers

Requirements

Highly proficient in Python and its data analysis libraries, including Pandas, Matplotlib, and PySpark; Basic proficiency in Bash/Linux commands; Possesses a strong foundation in descriptive analytics, with demonstrated critical thinking and problem-solving capabilities; Capable of working effectively with both structured and unstructured data; Writes clean, maintainable code and consistently applies version control (Git) as a standard practice within the workflow; Demonstrates strong data storytelling abilities and delivers clear, compelling reports and presentations tailored to diverse audiences.

Nice to have

Knowledge of dashboard visualization tools, such as Streamlit

Benefits

Flexible work conditions; Hybrid work system; Exchange with colleagues around the world; Health insurance and medical office on site; Training opportunities; Opportunities for career progression and continuous professional development; Access to great discounts in partnerships and Bosch products; Sports and health related activities; Great access to public transports; Free parking lot; Canteen