Stellenausschreibung

What to Expect

The individual in this role will deliver financial analytic support for Tesla's EMEA Logistics team. Focus will include freight invoice validation supporting payment approval, financial reporting, logistics spend systems improvements, and data analytics.

What You’ll Do

Develop and maintain key metrics and executive dashboard on freight invoice payment, logistics cost performance, and cost improvement roadmap actions.
Deliver in-depth analysis of logistics network to explore opportunities for cost improvement actions and drive data driven decision-making.
Analyze operational and finance data and present actionable insights to senior team members and management.
Support the timely validation and payment of logistics invoices.
Collaborate with Finance for cost accruals, and invoice payments.
Support the Finance group with logistics information for the monthly and quarterly close processes.
Issue statistical or detailed reporting for stakeholders as requested, using SQL to retrieve data from the backend and working with Excel/Power Query to automate and mold data.
Analyze operational and finance data and present actionable insights to senior team members and management.
Develop and maintain key metrics and executive dashboard on freight invoice payment, logistics cost performance, and cost improvement roadmap actions.
Deliver in-depth analysis of logistics network to data-mine opportunities for cost improvement actions and drive data driven decision-making.
Identify & execute opportunities to increase bandwidth through automation and streamlining of business processes.
Utilize enterprise cost mindset to continuously improve cost and quality for the global material, service, and product distribution network.

What You’ll Bring

Bachelor’s/master’s degree in finance, analytics, accounting or supply chain or the equivalent experience and exceptional ability.
Experience in analytics, financial or a supply chain role or projects is a plus.
Understanding of financial and accounting concepts and procedures within a manufacturing environment.
Proficiency with MS Office, MS Excel, SQL, Tableau/other BI tools.
Knowledge of Python, VBA or R is a plus.
Exceptional analytical skills with regards to logistics analysis, data manipulation, and the ability to create information from data.
Ability to work in a fast-paced environment and deliver high quality results.
Fluent English, German is a plus.

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