Analytics Engineer (f/m/div)
Infineon · Munich, Bavaria, Germany
Semiconductor Manufacturing · 10,001+ employees
About the role
The Analytics Engineer will build and deploy AI and machine learning models while developing analytics solutions to support financial decision-making. They will also design data pipelines and collaborate with stakeholders to translate business challenges into actionable analytical solutions.
What they look for
Requirements
Candidates must hold a Master’s degree in Data Science, Computer Science, Engineering, or a related field. Proficiency in SQL, data management, and experience with visualization tools like Power BI or Tableau are required.
Full description
#WeAreIn for jobs that impact everyone's life.
Transforming data into decisions, are you ready to shape the future?
As an Analytics Engineer in the Software & Data Science team, get ready to program the intelligence behind the chips, transform complex data into actionable insights, and create cutting-edge solutions that redefine industries and solve tomorrow's challenges.
Are you in?
Your roleKey responsibilities in your new role
· Build and deploy AI and machine learning models for forecasting, anomaly detection, process optimization, and business insights
· Support the implementation of Generative AI use cases to enhance Finance productivity and automation
· Develop and maintain analytics solutions, dashboards, and reporting tools to support Finance decision-making
· Gather, clean, transform, and analyze data from multiple business and financial systems
· Collaborate with Finance stakeholders to understand business challenges and translate them into analytical solutions
· Design and maintain data pipelines and workflows that ensure reliable and scalable data processing
· Monitor model performance, support data governance and quality assurance, and drive continuous improvement initiatives
Your profileQualifications and skills to help you succeed
· Master’s degree in Data Science, Computer Science, Engineering or a related field
· 1 year of experience or exposure in analytics, data engineering, AI, or business intelligence
· Proficiency in SQL and data management principles; familiarity with Python or R
· Experience with Power BI or Tableau and strong data visualization/storytelling skills
· Exposure to machine learning and predictive analytics; experience with Generative AI tools (prompt engineering or AI copilots) is advantageous
· Familiarity with cloud platforms (Azure, AWS, GCP) and Process Mining solutions (Celonis, UiPath, MPMX)
- Strong analytical and problem-solving abilities and the ability to communicate technical concepts to non-technical stakekholders; Fluent English required, German is an advantage
#WeAreIn for driving decarbonization and digitalization.As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.Are you in?We are on a journey to create the best Infineon for everyone.
We strive to create the best Infineon for everyone by embracing diversity and inclusion. We welcome applicants for who they are and offer a workplace built on trust, openness, respect and equal opportunity.
Our hiring decisions are based on skills and experience. Even if you don’t meet every requirement, we encourage you to apply.
Please let your recruiter know if you need any accommodations during the interview process.
Learn more about our various contact channels and about Diversity & Inclusion at Infineon.
Guilherme Soares
https://www.linkedin.com/in/guilhermesoares1999/
