Our team formerly PXT Central Applied Science is now a vital part of the Amazon Manager Experience (AMX) organization. Were dedicated to revolutionizing management at Amazon through cutting-edge scientific solutions. We develop robust primitives that combine predictive modeling and generative AI split evenly between these two domains. Our predictive models provide timely insights into talent attrition risks and team cost trajectories. Our generative AI applications include virtual coaching for performance reviews promotion guidance and talent development as well as primitives that transform employee feedback into actionable strategies. By reducing subjective judgment and amplifying human effectiveness were enhancing the entire Amazon ecosystem. Our goal is to make Amazon an even better workplace by empowering managers with advanced technological solutions. As we look ahead we see boundless opportunities to contribute to the AMX flywheel. Were shaping a future where data-driven insights and AI-assisted decision-making are the norm in people management. We serve as the bridge between applied science and day-to-day management realities at Amazon. Our work drives efficiency fosters talent and contributes to the success of both individuals and the organization as a whole. We need a motivated experienced Business Intelligence Engineer who can develop a comprehensive strategy for acquiring analyzing and deriving metrics to assess primitive effectiveness and extract employee feedback insights to this role you will: Identify critical metrics and establish essential analysis to measure the health effectiveness and efficiency of the primitives developed by the team. Establish an ongoing mechanism to inspect the metrics and discover opportunities to improve them by working with the respective product managers. Invent new ways to analyze data and leverage modeling to extract insights from employee feedback mechanisms. Partner with Product Managers Applied Scientists Data Engineers and Software Engineers to design products and systems to transform and store data items using AWS technologies. Create self-service solution to enable product managers and leaders for real time audit present overall program impacts and facilitate decision making.
Key job responsibilities Support AMX Applied Science teams analytics through automated reporting trend analysis and process automation.
- 4 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience - Experience with data visualization using Tableau Quicksight or similar tools - Experience with data modeling warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift - Experience in data mining ETL etc. and using databases in a business environment with large-scale complex datasets
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