Description

　　Have you ever ordered a product on Amazon and when that box-with-the-smile arrives you wonder how it got to you so fast? Wondered where it came from and how much it cost Amazon? Wondered how Amazon designs its transportation network to scale and reliably deliver hundreds of millions of package to customer’s doorsteps? If so, Amazon’s Trans Systems Analytics (TSA) team is for you.

　　We use mathematical models, business analytics, algorithm design and statistics to improve decision-making capabilities across Operations and Amazon Logistics. Our objective is to create a reference for what the ideal transportation network looks like and build scalable audit mechanisms to assess and reduce the gap to the current network. We do so by treating system defects as gifts and solve anomalies in systems and their behavior to achieve business goals.

　　We are based out of the EU headquarters in Luxembourg and looking for a talented and motivated Business Intelligence Engineer to innovate and enhance our outbound network optimization and management products.

　　Key job responsibilities

　　This role might be for you if:

　　You are a business acumen with strategic, analytical, and critical thinking

　　You understand technical software development life cycle and have experience to drive research teams towards business solutions

　　You drive strategic product communications across organizations providing clarity in decisions

　　You have experience to develop scalable business intelligence solutions

　　In this job, you will:

　　Work with Engineers and Research Scientists across multiple teams and business stakeholders to design and build highly available and scalable systems for developing and managing Amazon’s network

　　Drive strategic upward product communications (e.g., decision narratives, investment proposals) internally or externally in multiple organizations

　　Identify business opportunities to expand, automate, or optimize Amazon’s Supply Chain

　　Evaluate stakeholders expectations and contribute to the strategy, prioritize technical and operational initiatives

　　A day in the life

　　You are considered a technical expert on your team. You work efficiently to deliver the right things with limited guidance. Your work focuses on complex and/or ambiguous problem areas in existing or new BI initiatives. You take the long term view of your team's solutions and how they fit into the team’s architecture. You consider where each solution is in its lifecycle and where appropriate, proactively fix architecture deficiencies. You have a deep understanding of—and influence over—data lineage across the organization: including technical systems by which the data is generated; how metrics are aggregated; and how the resulting business intelligence is consumed, interpreted and acted upon by the business.

　　You use your expertise and knowledge of the business and its technologies to drive insightful discussions with customers and can anticipate—and influence—their future requirements. You understand that not all problems are new (or require new data BI solutions). You ensure your team’s BI solutions are accurate, timely, accessible and actionable. You show good judgment when making trade-offs between your team’s investment (e.g. team prioritization, data retention policy, infrastructure costs) and the business need. You are able to take the lead on large projects that require the work of multiple persons. You know how to divide a BI project into parallel work that can be performed by you and other data professionals and then reassembled successfully into a cohesive launch.

　　We are open to hiring candidates to work out of one of the following locations:

　　Luxembourg, LUX

　　Basic Qualifications

　　Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.

　　Experience with data visualization using Tableau, Quicksight, or similar tools

　　Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)

　　Experience with scripting language (e.g., Python, Java, or R)

　　Experience with SQL

　　Experience in the data/BI space

　　Preferred Qualifications

　　Master's degree, or Advanced technical degree

　　Knowledge of data modeling and data pipeline design

　　Experience with statistical analysis, co-relation analysis

　　Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.