Business Intelligence Engineer

Who you are

• The ideal candidate will be comfortable in a fast-paced, dynamic environment; will be a creative and an analytical problem solver with the opportunity to fulfill the Amazon motto to “Work Hard
• 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
• Master's degree, or Advanced technical degree
• Knowledge of data modeling and data pipeline design
• Experience with statistical analysis, co-relation analysis

What the job involves

• We are looking for a Business Intelligence Engineer to help setup and deliver robust, structured reporting, analytics and models, automations and AI initiatives for the ship with Amazon vertical in Europe
• You will be a key contributor to shaping our strategic innovation program by equipping the project teams with the insights into the operation performance
• You will have an eye for detail, proficient/advanced SQL/DW/Python and have a knack for solving challenging data, reporting and automation challenges
• The role requires you to feel comfortable working with and clearly communicating with other functional teams, regionally and globally
• The position will be based in Barcelona
• You will be reporting to a Business Intelligence Manager, working intensely with his (larger) project team
• Develop analytical solutions to business problems that utilize the highest standards of analytical rigor and data integrity
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
• Write high quality code to retrieve and analyze data
• Analyze and solve business problems at their root, stepping back to understand the broader context
• Design pragmatic analyses and automated metrics that add value to your business area
• Understand data resources and how, when, and what to use (and what not to use)
• Develop analyses (whether fully formed or exploratory) for the business’ sake, not for analyses’ sake
• Seek to understand the business objectives relevant to your area, and align your work to those objectives and seek to deliver business value
• Proactively and continually, improve your level of knowledge about Amazon’s business and relevant data resources
• Analysis of business requirements and translation into technical requirements. By support of senior colleagues integration into a working, stable and scalable system
• Independent realization of requirements for Business Intelligence and custom software development products
• Creation of test cases and guidance of business stakeholders within the testing process
• Presentation of solutions and implemented features within weekly sync up with business stakeholders
• Ownership of maintenance and error handling of deployed solutions
• 1 – 2 main projects in parallel
• Focus on project delivery