DESCRIPTION
Our entire business works hard to delight our customers - from the second an order is placed online to the seamless coordination of that order behind the scenes, we strive to stay agile, fluid and intentional. That can be described in one of our core Leadership Principles, which is Bias for Action. This means that our team's band together, roll up their sleeves, and aren't content with just standing still. We're aiming to become the most customer-centric company on Earth.
Amazon Shipping is looking to hire an analytical, technically skilled, innovative, hands-on, and customer-obsessed Business Intelligence Analyst that can drive innovation and execution in transportation networks. As a member of the EU Amazon Shipping team, you will be responsible for optimizing the transportation and delivery network to meet with the strategic network plan.
Do you see a clear path where others see roadblocks? Would you rather break the mould to do something right than settle for the status quo? 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 a Collections Network which will exceed our customer's expectations.
Key job responsibilities
1. S&OP Planning (Short and Medium Term) for EU-SWA with stakeholders across First Mile Sellers, ATS-SCs and Last Mile AMZL.
2. Turn data into actionable business insights to improve complex tech systems in supply chain and work with partner teams to prioritize fixing system defects.
3. Contribute to projects to improve S&OP Volume Forecasting and Capacity Planning.
4. Perform deep-dives, reports and analysis through tools and data manipulation using SQL, Tableau, Excel, Quicksight, RedShiftBI, to uncover actionable insights for known and unknown problems. Provide recommendation on new metrics or business decision.
5. Understand drivers for forecasting inaccuracies and be a real creative problem solver to fix in a sustainable way.
BASIC QUALIFICATIONS
1. 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.
2. Work experience in business analytics with demonstrated proficiency in quantitative analysis.
3. Advanced Microsoft Excel skills.
PREFERRED QUALIFICATIONS
1. Experience with SQL, Python, ML or other programming experience.
2. Experience with data visualization using Tableau, Quicksight, or similar tools.
3. Experience in the data/BI space.
4. Experience with metrics creation and data presentation.
5. Prior experience in BIE/BA roles.
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