DescriptionWe are looking for a Business Analyst to join the ACES Data Analytics Team (ADAT), supporting operational excellence through data-driven dashboarding solutions. In this role, you will be responsible for designing, developing, and maintaining dashboards and underlying data pipelines that provide actionable insights to operations teams. You will work closely with stakeholders across the support function to translate business needs into analytics solutions that drive decision-making and continuous improvement.Key job responsibilitiesi) Design, build, and maintain dashboards and reporting solutions that support operational performance tracking and decision-makingii) Write and optimize SQL queries to extract, transform, and analyze data from multiple sourcesiii) Develop Python scripts for data manipulation, automation, and advanced analyticsiv) Partner with operations stakeholders to understand business requirements and translate them into clear technical specificationsv) Perform root cause analysis on operational metrics, identifying trends, anomalies,



and opportunities for improvementvi) Ensure data accuracy and integrity across all reporting and dashboarding deliverablesvii) Proactively communicate progress, blockers, and risks to stakeholders and leadershipviii) Support KTLO (Keep The Lights On) activities for existing dashboards, including troubleshooting, bug fixes, and enhancementsA day in the lifeIn particular, Business Analysts will support the team with different types of analyses (from estimating the savings of a new project to calculating the drivers behind the Team’s performance) and work with various stakeholders in Amazon’s Operations. We are looking for profiles with analytics and communication skills, business sense and an excellent knowledge of Excel and the Microsoft Office package.As a Business Analyst on our team, you own the full cycle from raw data to actionable insight. You write SQL queries to pull operational data from multiple source

📌 Aces Analyst, Adat (Madrid)
🏢 Amazon
📍 Madrid