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Business Intelligence Engineer
2 months ago
We are seeking a highly skilled Business Intelligence Engineer to join our team at Amazon Services LLC. As a key member of our analytics team, you will play a pivotal role in shaping our analytics strategy and driving multi-year roadmaps that align with our vision.
Key Responsibilities- Design, develop, and maintain scaled, automated, user-friendly systems, reports, and dashboards to enable stakeholders to manage the business and make effective decisions.
- Drive data-driven decision-making through compelling narratives that seamlessly integrate data analysis, visualizations, and statistical insights.
- Work with Product Managers to understand business requirements and implement solutions to support product plans.
- Conduct ad hoc data analysis and data quality investigations.
- Implement training and documentation solutions to enable stakeholders to get the most out of our self-serve analytics tools.
- Develop and support analytical technologies that give our customers timely, flexible, and structured access to their data.
- Define, develop, and maintain critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis.
- Analyze historical data to extract meaningful insights from large and complex data sets to identify trends and support decision making, including written and verbal presentation of results and recommendations.
- Collaborate with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of machine learning models.
- Understand Amazon's data resources, which to use, how, and when.
We are a team of Data Engineers and Business Intelligence Engineers working on Amazon's scale 3P Ads measurement. We enable scientists, product managers, and economists to invent measurement techniques with high-quality data sets, metrics, and dashboards that enable them to build and evaluate ML models and roll out new measurement techniques at scale.
Requirements- 8+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform, and clean large (multi-TB) data sets
- 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 managing, analyzing, and communicating results to senior leadership
