Are you ready to make an impact by using data to drive decision-making at the highest levels? Join our dynamic team as a Senior Business Intelligence Engineer focused on Intellectual Property Protection . From Day 1, you will tackle complex and ambiguous data challenges, creating impactful datasets, reports, and dashboards. This role is perfect for someone who: Has a proven track record of taking full ownership and delivering results in a fast-paced business environment. Has a passion for data and is skilled at identifying root causes, trends, and patterns to drive actionable business outcomes. Is experienced working with large datasets and using various tools for data extraction and transformation. Possesses strong business communication skills to collaborate effectively with stakeholders and translate business needs into actionable insights. Thrives on managing competing priorities and ambiguity in an agile setting. Key Responsibilities: Transform data into actionable business insights accessible to stakeholders globally. Translate analytical insights into concrete recommendations to enhance business or product performance. Design and develop dashboards that provide critical insights into business health and performance. Provide analytical solutions that improve operational efficiency and customer experience while identifying hidden risks and trends. Collaborate with internal teams to gather requirements and develop scalable data solutions. Design and manage vast datasets while optimizing query performance. Drive the implementation of new analytics technologies and promote industry best practices. About the Team: Our Intellectual Property Protection team is dedicated to supporting Amazon's Selling Partner Services organization. We leverage brand data to prevent the misuse of trademarks and copyrights on Amazon, ensuring the best operational experience for Selling Partners. Basic Qualifications: 10+ years of professional or military experience. 5+ years of SQL experience. Experience in programming for extracting, transforming, and cleaning large datasets. Proficient in AWS technologies. Experience with scripting for automation (e.g., Python). Strong foundation in data mining, machine learning, and statistical analysis. Preferred Qualifications: Proven experience working directly with business stakeholders. Experience summarizing data analysis results for senior leadership. Our compensation reflects market labor costs and ranges from $117,300 to $202,800 annually based on location, skills, and experience. We offer a total compensation package that includes equity, sign-on bonuses, and a full range of benefits. This role remains open until filled. We welcome applications via our career site. Amazon is an equal opportunity employer and values a diverse workforce.