Senior Business Intelligence Engineer, Delivery Speed and Long-term Planning

This role will particularly suit someone with deep data engineering skills and an ability to navigate complex systems.

The role includes 80% analytical activities and 20% stakeholder/project management.

• Use and share your insights with partner teams, to influence and build a 3 year roadmap of projects to accelerate speed of deliveries.
• Lead regular business reviews with partner teams to monitor the progress of projects in the roadmap.
• Consolidate progress into crisp and concise data-driven status updates.

• Autonomously develop and lead design and execution of advanced metrics, reporting and bridging capabilities to support design speed strategy in Europe and North America.
• Turn data into actionable business insights to improve complex tech systems in supply chain and work with partner teams to prioritize fixing system defects.
• Perform detailed data quality checks, proactively identifying and fixing data discrepancies and inaccuracies.
• Perform deep-dives and data analysis using SQL (>10TB) to uncover actionable insights for known and unknown problems. Provide recommendation on new metrics or business decision.

An Amazon Business Intelligence Engineer starts the day by analyzing delivery speed data, collaborating with cross‑functional teams to optimize processes. They create insightful reports and dashboards to aid decision‑making for stakeholders like Operations and Logistics. By leveraging data‑science techniques, they forecast long‑term trends to enhance delivery efficiency and customer satisfaction. They work closely with software developers, applying BI tools to improve system performance.

Solving complex problems related to delivery speed and planning, they contribute to Amazon's goal of providing exceptional customer experiences.

GTS SLTP acts as the internal consulting team to help teams across Amazon achieve the right balance between customer experience and investments. Team members have a very large scope of impact and regularly interact with leadership two levels above them.

• 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 SQL.
• 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.

Operations is at the heart of the Amazon customer experience. Each action we undertake is on behalf of our customers, as surpassing their expectations is our passion. We improve customer experience through continuously optimizing the complex movements of goods from vendors to customers throughout Europe. Global transportation analytical teams are transversal centers of expertise, composed of engineers, analysts, scientists, technical program managers and developers.

We are focused on Amazon's most complex problems, processes and decisions. We work with fulfillment centers, transportation, software developers, finance and retail teams across the world, to improve our logistic infrastructure and algorithms. Fulfillment acceleration is one of those Global transportation analytical teams. We are obsessed by rethinking our advanced end‑to‑end supply chain to make our deliveries even faster. Our overall mission is simple: we want Amazon to be the place where our customers can be delivered the next‑day.

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.

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