Senior Business Intelligence Engineer, Transportation , Global Transportation Services

- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience working directly with business stakeholders to translate between data and business needs
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience in the data/BI space
- Experience managing, analyzing and communicating results to senior leadership
- MS/BS degree in computer science, programming or related technical areas.

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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 Senior Business Intelligence Engineer to innovate and enhance our outbound network optimization and management products. You will use data and critical thinking to drive alignment across senior leaders across organizations on your product vision and drive product roadmaps based on entitlement and automation benefits. This role is high visibility and cuts across all business functions.






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 Senior 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.

You understand capabilities and limitations of the systems you work with (e.g. cluster size, concurrent users, data classification). You are able to explain these limitations to technical and non-technical audiences, helping them understand what’s currently possible and which efforts need a technology investment (e.g., data pipeline doesn’t exist, report needs additional functionality, etc.). Your code submissions and analytics approach to work are exemplary. Your BI solutions are inventive, robust, scalable, extensible, and easy for others to maintain and build upon. You understand that not all problems are new (or require new BI solutions).

You are a key expert in business strategy. You take ownership of team infrastructure, providing a system-wide view and design guidance. You make things simpler. You drive BI engineering best practices (e.g. Operational Excellence, code reviews, syntax and naming convention, metric definitions, alarms) and set standards. You work to resolve the root cause(s) of pervasive or persistent problems; your efforts may unblock related teams. This may require you to influence decisions made by other teams. You build consensus; when confronted with discordant views, you are able to find the best path forward and influence others to follow that path. You actively recruit and help others leverage your expertise, by coaching and mentoring in your organization (or at your location). You contribute to the professional development of colleagues, improving their business and technical knowledge and their understanding of BI engineering best practices. You ensure your team is stronger because of your presence, but does not require your presence to be successful.