Ferrari Internship (Englewood Cliffs, USA)

Deadline: As soon as possible

Internships

Companies

Location(s)

United States of America

Englewood Cliffs

Overview

Ferrari has a most desirable track-record: outstanding results, a unique product portfolio and an iconic, global brand. Above all Ferrari is a team of dedicated colleagues from many nationalities, working with the highest level of excellence and professionalism and ensuring innovation and continuous improvement at the heart of our organization.

Details

Job Description:

In this position, The intern will assist in the development of existing data infrastructure and ETL processes as well as design and develop new internal web tools. Also the intern will be working together with all the teams in the Aftersales department in order to provide support on daily activities.

As part of the Ferrari North Ameirca team, your main responsiblities will be:

Reporting Activities - creation of dashboard in excel and Power BI for the KPI montioring of the following department: Technical Help Desk, Warranty, Port Operations, Workshop.
Update of the Aftersales operations manual and department manuals (for example workshop and Port operation)
Benchmark activities- we would like the intern to provide support in benchmarking two of our main suppliers: Allstate Roadside Assistance and FAPS port operations.
Audits - the intern will be required to perform Warranty and Roadside Assistance Audits, supervised by the warranty department

Opportunity is About

Engineering

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Eligibility

Candidates should be from:

Afghanistan Albania Algeria Andorra Angola Antigua and Barbuda Argentina Armenia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Central African Republic Chad Chile China Colombia Comoros Congo: Democratic Republic Congo: Republic Cook Islands Costa Rica Croatia Cuba Cyprus Czech Republic Denmark Djibouti Dominica Dominican Republic East Timor Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Fiji Finland France Gabon Gambia Georgia Germany Ghana Gibraltar Greece Grenada Guatemala Guinea Guinea-Bissau Guyana Haiti Honduras Hong Kong Hungary Iceland India Indonesia Iran Iraq Ireland Israel Italy Ivory Coast Jamaica Japan Jordan Kazakhstan Kenya Kiribati Korea, North Korea, South Kosovo UN1244 (*not recognized by majority of countries) Kuwait Kyrgyzstan Laos Latvia Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Macau North Macedonia Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Mauritania Mauritius Mexico Micronesia Moldova Monaco Mongolia Montenegro Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands New Zealand Nicaragua Niger Nigeria Niue Norway Oman Pakistan Palau Palestinian Authority Panama Papua New Guinea Paraguay Peru Philippines Poland Portugal Puerto Rico Qatar Romania Russia Rwanda Saint Kitts and Nevis Saint Lucia Saint Vincent and the Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa South Sudan Spain Sri Lanka Sudan Suriname Swaziland Sweden Switzerland Syria Taiwan Tajikistan Tanzania Thailand Togo Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Tuvalu Uganda Ukraine United Arab Emirates United Kingdom United States of America Uruguay Uzbekistan Vanuatu Vatican City Venezuela Vietnam Western Sahara Yemen Zambia Zimbabwe

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Description of Ideal Candidate

The following skills are required to perform the role: In depth knowledge of Python and SQL, Understanding of Data Warehouse Concepts, Knowledge of Relational Data Modeling, Cloud(AWS, Azure, GCP etc.) Knowledge is a plus.

Dates

Deadline: As soon as possible

Cost/funding for participants

Fully Funded

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