Junior Data Analyst
hace 1 semana
Experience working with data
- Advanced knowledge of MS - specially Excel
- B2/C1 English level
Are you passionate about leveraging data to deliver actionable insight that impacts daily business decision of Amazon in a promising new market segment?
Does the prospect of dealing with massive volume of data excite you?
Amazon is seeking a Transportation Performance Analyst to join Amazon's European Special Handling (EU SH) team. 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 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, creating relevant KPIs and metrics for performance of team as well as for transportation operations. Publish daily/weekly performance reports. You will give us 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.
**Responsibilities**:
- Create metrics, performance dashboards and reports
- Drive root cause analysis
- Engage with cross-functional teams and/or carriers/vendors for implementation of project/program requirements
- Managing multiple projects/initiatives
- Communication at all levels with the ability to present information professionally & concisely with supporting data
Barcelona, ESP
- VBA, SQL or other coding experience to support automation initiatives
- Working experience 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 an often times ambiguous environment.
- Ability to think quantitatively and qualitatively about operating processes and outcomes
- Previous experience within transportation or logistics.
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