Deadline:
As soon as possible
Location(s)
Germany
Grünheide (Mark), Brandenburg
Overview
Details
Giga Berlin Analytics Team is focused on building the reporting necessary to measure key performance indicators for Tesla headcount, attendance, vacation planning, shutdown planning, and increasing efficiency through data and analytics.
You will be tasked to provide proactive analyses helping to drive business programs and informed decisions. The Data Analyst should act as an advisor, ultimately helping leadership to identify and overcome challenges thereby helping to enhance the productivity of Tesla’s full-time employees, distribution across shops, shifts, and days. The Analyst must be able to clearly communicate insights to the management teams. You will have the opportunity to develop and continuously improve the way we make decisions based on data.
What You’ll Do
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Develop and implement detailed and accurate reports for the management team, providing visibility into performance against key HR metrics such as employee turnover, time-to-hire, and training effectiveness
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Manipulate and interpret large datasets to deliver actionable insights to the management, such as identifying trends in employee attendance and vacation planning
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Develop new tools to promote productivity and efficiency utilizing Tableau, SQL, Python, and Tesla in-house reporting tools, such as predictive models for employee retention and succession planning
Opportunity is About
Eligibility
Candidates should be from:
Description of Ideal Candidate
What You’ll Bring
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A degree in Computer Science, Engineering, Data Science, or a related field is highly desirable, but not required. Relevant work experience and skills will also be considered
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Highly collaborative and team-oriented, while also able to work independently
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Ability to deliver under tight deadlines and work on multiple tasks and projects at once
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Experience with Tableau (or similar tooling like MS PowerBI, Qlik), SQL, and Microsoft Excel. Experience with Python and/or R is a plus
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Excellent quantitative skills and a deep understanding of statistical methods with an ability to inspire confidence in data-driven decision making
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Strong written and verbal communication skills
Dates
Deadline: As soon as possible
Cost/funding for participants
Un-save Opportunity
Internships, scholarships, student conferences and competitions.
