INTERNSHIP DETAILS

Internship - Data Analysis Automation and Visualization

CompanyInfineon
LocationSingapore
Work ModeOn Site
PostedJanuary 15, 2026
Internship Information
Core Responsibilities
The intern will engage in data post-processing related to backend final tests and support the application of statistical and AI methods in backend yield analysis. They will also develop automation tools for data analysis and assist engineers with ad-hoc scripting requests.
Internship Type
full time
Company Size
42965
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Semiconductors are crucial to solve the energy challenges of our time and shape the digital transformation. This is why Infineon is committed to actively driving decarbonization and digitalization. As a global semiconductor leader in power systems and IoT, we enable game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. We make life easier, safer, and greener. Together with our customers and partners. For a better tomorrow. Together, with more than 58,000 people from over 100 countries, we are not just shaping the future. We are redefining it. We engineer innovative products, while caring for our people and empowering them to reach ambitious goals. We offer work-life balance, long term growth and a supportive environment where individuality is celebrated. #WeAreIn for driving decarbonization and digitalization. Are you in?
About the Role
The student, as part of the Global Product Engineering team and under the guidance of an assigned mentor, will undertake projects working on developing data analysis automation and visualization tools.

Job Description
In your new role you will:
  • Be engaged in data post-processing relating to backend final test 
  • Support the conceptualization and application of statistic/AI methods in backend yield analysis and reporting 
  • Develop data analysis automation tools 
  • Assist engineer on ad-hoc scripting requests for data analysis

Internship Learning Outcomes:
  • Understand the main steps of back-end assembly packaging process, back-end final test production procedures and the subsequent data post-processing 
  • Gain knowledge on the concept and application of statistical methods in back-end yield analysis and reporting 
  • Make intensive use of Knime, Tableau, Python, HTML for programming of a data analysis tool 
  • Enhance communication skills through interaction with international colleagues


Your Profile
You are best equipped for this task if you have:
  • Bachelor's or Master's degree student pursuing relevant fields of studies in Electrical/Electronic Engineering, Computer Engineering/Science or Information Technology 
  • Knowledge of software: Tableau, Knime 
  • Knowledge on programming languages: Tableau, Python, HTML 
  • Motivated to learn and pick up new knowledge
  • Preferred Internship Period: Mar 26 - Aug 26


#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.
This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Learn more about our various contact channels.
Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.
Click here for more information about Diversity & Inclusion at Infineon.

Key Skills
Data AnalysisAutomationVisualizationStatistical MethodsAI MethodsData Post-ProcessingScriptingKnimeTableauPythonHTMLCommunication Skills
Categories
EngineeringData & AnalyticsTechnology