Data Analyst and Process Engineer Intern
AFZ02 - Heredia, CR -Building 2 (AFZ02)
HP
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Description:
The primary goal of the program is to train and develop students to perform tasks related to the business areas in which they are hired, taking responsibility for projects that will be carried out during the internship period. As part of the program, interns will be engaged in activities and training aimed at enhancing their knowledge and experience in a corporate environment.
Education
Degree Industrial Engineering
Knowledge & Skills
- Systems Thinking and Optimization
- Lean Manufacturing Principles
- Process analysis and design, quality control, and systems optimization.
- Advanced statistical analysis and predictive modeling to drive process improvements and increase efficiency
- Effective communication skills
- Proactive
- Proficiency in English (advanced level preferred)
- Teamwork
- Problem Solving
Job -
AdministrationSchedule -
Full timeShift -
No shift premium (Costa Rica)Travel -
Relocation -
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement
Tags: Engineering Industrial Predictive modeling Statistics
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