Internship - Data Analysis (Industrial Engineering)

5 months ago


Singapur, Singapore Infineon Technologies Full time
The intern under the guidance of an assigned mentor, will be involved in a data analytics project and responsible to assist in developing in-house tools for internal team to detect any abnormality in operation. In your new role you will:
Define the end-in-mind requirement to analyze and detect top equipment performance detractors Perform data processing and validation using Python or any common open-source tools Design and build visual dashboard using Tableau / Knime Create documentation and conduct training on data concepts and specific tools
Internship learning outcomes: 
Understand & know how to apply Tableau/KNIME software to design & develop visual dashboard/tools for operational analysis/reporting Understand data analysis methodologies to identify performance detractors and root causes to enable focused areas to drive productivity. You are best equipped for this task if you have:
On track to attain a Bachelor in Data Science, Computer Science, Applied Mathematics, Statistics, Business Analytics or related technical discipline Able to commit full-time internship for at least 5 months Familiarity with ETL, Tableau, Knime, SQL, Python and R would be advantageous

Benefits

Wide range of training offers & planning of career development International assignments Different career paths: Project Management, Technical Ladder, Management & Individual Contributor Staggered working hours for normal shift employees Home office options, certain conditions apply. Part-time work possible (applicable for normal shift employees) On-site day-care center Medical coverage On-site social counselling and works doctor Health promotion programs On-site canteen Private insurance offers Paid sick leave according to law, personal accident & work injury insurance, long term illness leave Retirement benefits, re-employment opportunities, employment assistance payment Performance bonus Provision of long haul transport for shift and shuttle services for office to defray transport costs

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