Job Description

Location: Singapore
Job ID: HRC0951000Job description
In your new role you will:

• Set up / maintain / improve data automation pipelines for KPI reports using tools such as python, Tableau prep, schedulers (Jenkins), version control (Bitbucket/GitHub), tracking tools (JIRA), virtualization platforms (Denodo) and knowledge base platforms (Confluence)
• Create / maintain / improve interactive data visualizations / reports on Tableau
• Support R&D Execution Governance team in the organization and documentation of data assets and use cases with cataloguing tools such as Alation. This includes the documentation of data dictionaries and data lineages to uncover dependencies in data pipelines or data quality issues
• The above tasks require close collaboration with key R&D stakeholders in Munich such as the Data Governance Office, Project Management Office, System / Data Owners, as well as data professionals in the R&D Execution Governance team, in which you will work in a SCRUM setup

Internship learning outcomes:

• Apply knowledge gained from coursework by working on end-to-end data use cases at R&D, touching on topics such as data engineering, analytics, and governance
• Gain experience and knowledge in common commercial tools such as Python, Tableau, Jenkins, Bitbucket, GitHub, JIRA, Confluence, Denodo
• Enhance R&D efficiency and effectiveness through digitalization, data visualization, and data management
• Experience \'learning while doing\' in a dynamic and diverse team of data professionals
• Sharpen soft skills essential for future career proliferation after graduation in a safe environment, interacting with colleagues across Asia Pacific and Europe

Your profile
You are best equipped for this task if you have:

• Bachelor / Masters\' Degree in Business Analytics / Data Science / Computer Science
• Demonstrated skills / portfolio in scripting (SQL & python) and data visualization (Tableau)
• Basic understanding of data governance concepts such as metadata, data classification, data access management, data architecture and data stewardship
• Good communication, verbal & written skills. This includes the ability to effectively explain technical details to a non-technical audience
• Demonstrated problem-solving skills to detect and resolve causes of errors in data solutions
• High level of initiative, independence and urgency to get things done, with an agile mindset
• Willingness to learn and explore new tools, methods, or ways of working to improve efficiency in existing processes

#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\xc2\xb4s experience and skills.
Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.
for more information about Diversity & Inclusion at Infineon.Does this sound like just the right challenge for you? If so, we look forward to getting to know you!(It only takes 90 seconds)

Infineon