Internship - Supply Chain Planning Data Analyst

As a key component of the supply chain planning process, the student will be working under the supervision of a designated mentor to identify and implement enhancements to existing processes, with the goal of increasing overall productivity and efficiency. Specifically, the focus will be on contributing to the development and optimization of Infineon's flagship Smart Power Business Line. <br><br><font color="#2a9b91"><font size="4px"><b>Your Role</b></font><br><br>Key responsibilities in your new role</font><br><ul><li><b>Data Collection and Cleaning: <br></b>-Collect and gather data from various sources <br>-Clean, preprocess, and transform data for analysis <br>-Ensure data quality and integrity </li><li><b>Data Visualization: <br></b>-Create interactive and informative dashboards and reports <br>-Use data visualization tools to communicate insights to stakeholders <br>-Develop and maintain data visualization platforms </li><li> <b>Data Analysis: <br></b>-Apply statistical and machine learning techniques to analyze data <br>-Identify trends, patterns, and correlations in data</li></ul><span data-converted-div="1"><br><b>Internship Learning Outcomes</b></span><ul><li><b>Understanding of business operations and goals </b></li><li>Ability to identify business opportunities and challenges through data analysis</li><li> <b>Familiarity with industry trends and best practices </b></li><li><b>Ability to communicate complex data insights to non-technical stakeholders </b></li><li>Experience working with cross-functional teams to implement insights </li></ul><br><br><font color="#2a9b91"><font size="4px"><b>Your Profile</b></font><br><br>Qualifications and skills to help you succeed</font><br><ul><li><b>On Track to attain Bachelors in Computer science, Data analytic management, Business Administration or related disciplines</b></li><li>Proficiency in data analysis tools and technologies (e.g. Python, R, SQL, Tableau) </li><li>Understanding of machine learning and statistical modeling techniques </li><li>Familiarity with data visualization tools and platforms </li><li>Strong critical thinking and analytical skills </li><li>Ability to work independently</li><li><u>Preferred Internship Period: Jun 26 - Dec 26</u></li></ul><br><br><br><strong>Contact:</strong><br>    Hillary Woo<br><br><p><b>#WeAreIn for driving decarbonization and digitalization.</b><br>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.<br><b>Are you in?</b><b><br></b><br><strong style="background-color: initial;">We are on a journey to create the best Infineon for everyone.<br></strong>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. <a href="https://www.infineon.com/cms/en/about-infineon/company/contacts/">Learn more</a> about our various contact channels.<br>Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.<br><a href="https://www.infineon.com/cms/en/careers/diversity-and-inclusion/">Click here</a> for more information about Diversity & Inclusion at Infineon.</p>