Business Analyst - London, United Kingdom - Amazon UK

Description

The goal of Amazon Logistics (AMZL) is to build a world class last mile operation.

The Capacity Planning Team provides AMZL with cost-optimal and flexible capacity solutions for in-station operations, year-round and enabling the business to scale for seasonal peak demand increases.

This role is based out of the London corporate office LHR16

As an Analyst, Analytics & Insights in the Capacity Planning Team, you will translate key strategic questions into insights and forecasting planning inputs, having a direct impact on decision made by the team to ensure we are constantly improving our planning quality and processes.

This position requires high judgement, excellent analytical abilities and a creative mind to invent solutions to existing problems. It also offers broad exposure to various business, operational, financial, and technical teams across Amazon. If you are someone who is passionate about getting insights from data, who systematically breaks down highly complex and ambiguous problems with ease and who enjoys working on a fast paced environment, we would love to speak with you
Provide central guidance and projections for weekly planning inputs

• Translate key strategic questions into projects, identifying requirements and relevant stakeholder groups
• Develop insights from the historical trends, including reports and documents, share and interpret those learnings with senior leadership
• Actively explore and design scalable execution plans for long-term strategic planning opportunities

Engaging with talented group of analytical leaders in the team who work on complex business problems
Connecting with business partners (Planning team, S&OP, Central Ops, Country DSP ... etc) to understand the business problem and build an analytical solution to address the same
Develop and deploy an analytical solution (from setting up data pipeline to building a user-friendly report/application/analysis) and share insights back to business leaders using a white paper
Actively engaging in Scrum Sprints to win as a team
A bachelor's or master's degree - ideally in Engineering, Computer Science, Mathematics, or Econometrics

• Previous analytical work experience
• Strong data analysis skills, ability to produce, interpret and draw conclusions from data
• Creative and ideas-driven in finding new solutions/ designing innovative methods, systems and processes.
• Ability to handle multiple competing priorities and projects in a fast-paced environment.

Experience using SQL to extract data from a database or data warehouse and building ETL pipelines
Quicksight/Tableau or similar tools
R/Python/C++
Optional) Experience with AWS solutions (S3, Athena, Sagemaker)
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