Forecasting and Capacity Planning Analyst , Ship with Amazon

Forecasting and Capacity Planning Analyst , Ship with AmazonJob ID: Amazon UK Services Ltd.Job summary
Are you interested in creating the future of e-commerce shipping? Do you want to be a part of team building the next $1bn initiative? Amazon Shipping (SWA) utilizes Amazon's delivery network to build and scale a new shipping service to solve some of the biggest logistical challenges facing not just Amazon, but the entire industry. We look to create a best-in-class shipping service for any package type, destination, and service speed at a competitive price and with a service consistently exceeding expectation. Do you see a clear path where others see roadblocks? What if you could use your creativity to change the direction of the entire transportation and delivery sector to raise the bar on customer experience? This is a great opportunity to be part of a team and initiative that is at the very start of its journey. You will be part of the core team that will design, build and implement collections network which will exceed our customer's expectations. Amazon Shipping Sales and Operations (S&OP) Team is looking to hire an analytical, technically skilled, hands-on and customer-obsessed Business Analyst that can drive innovation and execution in transportation networks.

Key job responsibilities

• Forecasting for existing territories as well as new expansion regions and demand streams as Amazon shipping evolves.
• Identify, analyze and dive deep on drivers for forecast inaccuracies and improve short and long term forecasting.
• Contribute to projects to optimize capacity planning.
• Streamlining existing processes through tools, portals and databases (Tableau, Excel, SQL, Python).
• Communicate and collaborate with Product and Program Teams to build new capabilities.

BASIC QUALIFICATIONS

• Passion for logistics and customer experience.
• High motivation to learn, develop, and perform in a growing environment.
• Bachelor or Master's Degree or similar education in Mathematics, Statistics, Computer Science, Operations Research, Logistics, Supply Chain, Economics, Business Administration, or a similar related discipline.
• Work experience in business analytics with demonstrated proficiency in quantitative analysis.
• Microsoft Excel and SQL skills.
• Experience with Python and Tableau.
• Experience with metrics creation and data presentation.
• Proven ability to successfully thrive in an ambiguous environment.
• High attention to detail and proven ability to manage multiple, competing priorities simultaneously.
• A desire to create and build new processes.
• Written and oral communication skills, including an ability to communicate across business areas.
• Inter-personal and relationship-building skills.

PREFERRED QUALIFICATIONS

• Relevant work experience in operations/supply chain/logistics/e-commerce is a plus.
• Experience with building multi-dimensional data models to serve as a foundation for future analyses. - Exposure to Python and R desirable.
• Experience with big data analytics.

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