We are looking for passionate Undergrad Technical Intern who will be part of Intel's Global IT Corporate Data and Insights group to learn and support the delivery of Analytics and Reporting capabilities and AI/ML Ops solutions in Finance enterprise data domains.
During the internship period, you will be part of an Agile Persistent Team(APT) to learn and experience on Finance related data analysis and validation, data flow mapping and data model design, and development/testing of reporting/analytics solutions in Enterprise Cloud Analytics platforms that enables Intel to transform, and at the same time Keep Intel Legal, to allow our biz stakeholders to make better decisions and through near real time data insights for biz success.
The ideal candidate needs to be:
Technical Skills:
Soft Skills:
Job Type:
Student / Intern
Shift:
Shift 1 (Malaysia)
Primary Location:
Malaysia, Penang
Additional Locations:
Business group:
Intel makes possible the most amazing experiences of the future. You may know us for our processors. But we do so much more. Intel invents at the boundaries of technology to make amazing experiences possible for business and society, and for every person on Earth. Harnessing the capability of the cloud, the ubiquity of the Internet of Things, the latest advances in memory and programmable solutions, and the promise of always-on 5G connectivity, Intel is disrupting industries and solving global challenges. Leading on policy, diversity, inclusion, education and sustainability, we create value for our stockholders, customers, and society.
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
N/A
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.