B2/C1 English level.
- Experience working with data (analysis, metrics).
- Advanced knowledge of MS Excel.
Are you passionate about leveraging data to deliver actionable insights that impact the daily business decisions of Amazon in a promising new market segment? Does the prospect of dealing with a massive volume of data excite you? Amazon is seeking a Transportation Performance Analyst to join Amazon's European Special Handling (EU SH) team. The EU SH team is responsible for the end-to-end Heavy/Bulky journey in the fulfilment, supply chain, and transportation daily business and its strategic vision in Europe. Amazon has a culture of data-driven decision-making and demands business intelligence that is timely, accurate, and actionable.
During our day-to-day operations, tons of data is generated which is leveraged to take our important business decisions. As an Analyst, you will be developing SQL/ETL queries, accessing data warehouse and Redshift clusters, creating automated reports through macros, and creating relevant KPIs and metrics for the performance of the team as well as for transportation operations. You will publish daily/weekly performance reports and provide business insights based upon data to further improve our operations and processes. You should have an internal drive to answer "why?" questions, excellent analytical abilities, and strong technical skills.
Key Job Responsibilities:
- Create metrics, performance dashboards, and reports.
- Drive root cause analysis.
- Engage with cross-functional teams and/or carriers/vendors for the implementation of project/program requirements.
- Manage multiple projects/initiatives.
- Communicate at all levels with the ability to present information professionally and concisely with supporting data.
- Use VBA, SQL, or other coding experience to support automation initiatives.
- Work with data visualization tools such as Tableau, Power BI, or Quicksight.
- Experience in business process improvement, Lean/Six Sigma.
- Proven independent decision-making skills in often ambiguous environments.
- Ability to think quantitatively and qualitatively about operating processes and outcomes.
- Previous experience within transportation or logistics.
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