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Supply Chain Data Analyst Internship (m/w/d) - Gigafactory Berlin-Brandenburg

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Tesla

2mo ago

  • Internship
    Full-time
    Off-cycle Internship
  • Logistics
    Data
  • Brandenburg

AI generated summary

  • You should be studying Data Science, Supply Chain Management, or related fields, with skills in data analytics, Excel, SQL, Python, and preferably experience in supply chain and procurement.
  • You will analyze data to identify trends, create dashboards, present findings, track project performance, and support the Program Manager in data collection across teams.

Requirements

  • Studying towards a degree in Data Science, Supply Chain Management, Purchasing or Economics
  • Experience with data analytics and visualization programs like Tableau, PowerBI, etc.
  • Excellent analytical skills including advanced Excel (ie. macros, VBA), SQL and Python preferred
  • Preferable previous experience in Supply chain processes and procurement
  • CSS and Java Script front end styling preferred

Responsibilities

  • Identifying trends and generate insights by conducting analyses of Tesla´s data systems
  • Convey crucial findings with internal stakeholders to encourage data-driven storytelling and decision-making
  • Identify critical metrics and develop high-level dashboards to monitor the advancement of the company's KPIs and its top objectives
  • Constantly pursue methods to increase operational effectiveness
  • Engage in internal stakeholder meetings and present status updates on a weekly basis
  • Create reports and keep track of project performance using spreadsheets and data metrics
  • Support the Program Manager to collect data from cross functional teams

FAQs

What is the start date for the Supply Chain Data Analyst Internship?

The start date for the internship is ASAP.

How long is the internship duration?

The internship duration is 6 months.

Where is the internship located?

The internship is located at Gigafactory Brandenburg.

What is the time commitment for this internship?

The internship is a full-time position.

What qualifications are required for this internship?

Candidates should be studying towards a degree in Data Science, Supply Chain Management, Purchasing, or Economics.

What skills are preferred for this position?

Preferred skills include experience with data analytics and visualization programs like Tableau and PowerBI, advanced Excel skills, SQL, and Python. Familiarity with CSS and JavaScript for front-end styling is also preferred.

Will I need to present findings to internal stakeholders?

Yes, you will engage in internal stakeholder meetings and present status updates on a weekly basis.

What type of reports will I be responsible for creating?

You will create reports to track project performance using spreadsheets and data metrics.

Is there an opportunity to work with cross-functional teams?

Yes, you will support the Program Manager in collecting data from cross-functional teams.

What is the main focus of this internship role?

The main focus is to identify trends, generate insights, and encourage data-driven decision-making to support the advancement of the company's KPIs and objectives.

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Tesla

Tesla’s mission is to accelerate the world’s transition to sustainable energy.

Automotive
Industry
10,001+
Employees
2003
Founded Year

Mission & Purpose

Tesla’s mission is to accelerate the world’s transition to sustainable energy through increasingly affordable electric vehicles in addition to renewable energy generation and storage. California-based Tesla is committed to having the best-in-class in safety, performance, and reliability in all Tesla cars. There are currently over 275,000 Model S, Model X and Model 3 vehicles on the road worldwide. To achieve a sustainable energy future, Tesla also created infinitely scalable energy products: Powerwall, Powerpack and Solar Roof. As the world’s only vertically integrated energy company, Tesla continues to innovate, scale and reduce the costs of commercial and grid-scale systems, with the goal of ultimately getting us to 100% renewable energy grids.