Internship – Supply Chain Planning Data Analyst

Job description

Data Collection & Integration

Collect and consolidate data from various sources to support supply chain planning and business analysis.

Data Preparation & Quality

Clean, preprocess, and transform datasets while ensuring data accuracy, quality, and integrity.

Data Visualization

Create interactive dashboards and informative reports using data visualization tools to communicate insights effectively.

Dashboard Development

Develop, maintain, and enhance data visualization platforms to support operational and strategic decision-making.

Statistical Analysis

Apply statistical and machine learning techniques to analyze supply chain data and identify meaningful insights.

Trend & Pattern Identification

Identify trends, patterns, correlations, and potential improvement opportunities in business data.

Process Improvement

Support the identification and implementation of process enhancements to improve productivity and operational efficiency.

Internship Learning Outcomes

Business Operations Understanding: Develop an understanding of supply chain planning activities, business operations, and organizational goals.

Data-Driven Problem Solving

Learn to identify business opportunities and challenges through structured data analysis.

Analytics & Visualization Skills

Strengthen practical skills in data preparation, statistical analysis, machine learning, and dashboard development.

Industry Exposure

Gain familiarity with relevant industry trends, analytical practices, and supply chain planning best practices.

Stakeholder Communication

Develop the ability to communicate complex data insights clearly to non-technical stakeholders.

Cross-Functional Collaboration

Gain experience working with different teams to translate analytical findings into practical business improvements.

Process Optimization

Contribute to real-world projects focused on improving productivity, efficiency, and process performance.

Educational Background

On track to attain a Bachelor's degree in Computer Science, Data Analytics, Business Administration, or a related discipline.

Data Analysis Skills

Proficiency in data analysis tools and technologies such as Python, R, SQL, and Tableau.

Statistical & ML Knowledge

Understanding of machine learning and statistical modelling techniques.

Data Visualization

Familiarity with data visualization tools and platforms for creating dashboards and reports.

Analytical Thinking

Strong critical-thinking, problem-solving, and analytical skills.

Communication Skills

Ability to communicate data insights clearly and effectively to technical and non-technical stakeholders.

Preferred Intake

Able to commit for more than 5 months from Jan 2027. 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. Hillary Woo https://www.linkedin.com/in/hillary-woo/