.Quality Reporting Specialist & Data Engineer (f/m/div.) The Bosch group has more than 400,000 employees around the world, present in 60 countries, and we are proud to impact people's lives and to work towards a more sustainable future. In Ovar, our main mission is to guarantee everyone's safety by being ready to act in the event of danger. Our company, with about 1200 associates, develops, creates, and produces inspiring solutions for a safe and enjoyable life. This success is due to the highly qualified people with a high level of knowledge and their dedication that contributes to the unique environment we have in Bosch: The feeling of a Family. At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference in mindsets, cultures, generations, identities, and perspectives. Everyone should bring their authenticity and work together respectfully. By including everyone and ensuring equal opportunities we unleash our full potential. Job Description We are seeking a highly skilled Quality Reporting Specialist to join our team. As a key member of our Quality department, you will be responsible for designing, developing, and maintaining high-quality reports that provide actionable insights to drive business decisions. The ideal candidate will have expertise in data analysis, data visualization, and reporting tools such as Microsoft PowerBI. You will work closely with cross-functional teams to optimize the form of quality reports, leveraging digitization tools to create interactive and informative reports that meet the needs of our stakeholders. Key responsibilities: Quality Report Optimization: Analyze existing quality reporting processes and identify areas for improvement. Develop and optimize the format and structure of quality reports to ensure clarity, accuracy, and actionable insights, using tools like Microsoft Power BI, Tableau, or other relevant data visualization platforms. Establish a simple and comprehensive library of quality KPIs, ensuring alignment with business goals. Automate data extraction, transformation, and loading processes to streamline reporting efforts. Data Analysis: Conduct deep data analysis to identify trends, patterns, and anomalies in quality metrics. Utilize statistical methods and data mining techniques to derive meaningful insights. Analyze data from various sources, including internal databases, customer feedback, and industry benchmarks. Develop statistical models and predictive analytics to forecast potential quality problems and proactively address them to the stakeholders as early warning. Present findings in a clear and concise manner
