NATSinformally known as Outboundis responsible for managing the connectivity and flow across Amazons transportation network.
We are seeking a Business Intelligence Engineer (BIE I) who is passionate about using data to drive business decisions. In this role you will partner with stakeholders across various teams translate business needs into data solutions and develop tools that enable better visibility automation and decision-making. This is a great opportunity for someone with a strong analytical foundation who is eager to learn and grow in a collaborative fast-paced environment.
Key job responsibilities * Partner with internal stakeholders to gather requirements and deliver end-to-end business intelligence solutions. * Collaborate cross-functionally to design develop and maintain dashboards and visualizations that track key business performance metrics. * Build and maintain data pipelines and models using AWS technologies. * Define develop and maintain automated reporting to support critical business and operational decisions. * Perform deep-dive analyses on operational performance and business problems identifying actionable insights and supporting implementation. * Proactively identify opportunities to improve the performance accuracy and usability of dashboards and reports. * Analyze historical data to identify trends and provide insights through clear written and verbal communication. * Support the business with ad hoc analyses and visualizations as needed.
A day in the life As a Business Intelligence Engineer I youll support product science and engineering teams by building reports dashboards and data pipelines that help monitor and improve the performance of Amazons outbound transportation network. Your day may include gathering requirements from stakeholders developing SQL queries validating data accuracy and visualizing trends that inform operational decisions. Youll contribute to team goals by digging into data to answer key business questions identifying anomalies and sharing insights that support planning and forecasting efforts. With guidance from senior team members youll continue to grow your technical skills and business acumen in a collaborative fast-paced environment.
- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience - Experience with data visualization using Tableau Quicksight or similar tools - Experience building and maintaining basic data artifacts (e.g. ETL data models queries) - Experience gathering business requirements using industry standard business intelligence tool(s) to extract data formulate metrics and build reports - Experience with building and maintain basic data artifacts (e.g. ETL data models queries)
- Knowledge of data modeling and data pipeline design - Experience with programming languages such as Python Java C - Knowledge of how to improve code quality and optimizes BI processes (e.g. speed cost reliability)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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