Business Intelligence Engineer I, Gbl Transportatn Srvcs

AmazonAustin, TX
$82,300 - $165,600Onsite

About The Position

Help optimize how millions of packages move through Amazon's transportation network every day. We are seeking a Business Intelligence Engineer I (BIE I) to join our Network Design, Planning and Engineering (NDPE) team, where you'll use data to drive visibility, automation, and smarter decision-making across outbound operations. In this role, you will collaborate 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. As a Business Intelligence Engineer I, you'll support product, science, and engineering teams by building reports, dashboards, and data pipelines that help monitor and improve the performance of Amazon's outbound transportation network. Your day may include gathering requirements from stakeholders, developing SQL queries, validating data accuracy, and visualizing trends that inform operational decisions. You'll contribute to team goals by digging into data to answer key business questions, identifying anomalies, and sharing insights that support planning and forecasting efforts. The Network Design, Planning and Engineering (NDPE) Business Intelligence team supports the connectivity and flow of Amazon's transportation network through data-driven insights. We are a collaborative group of BIEs and data engineers who value curiosity, knowledge sharing, and building reliable, scalable solutions. Our work directly impacts how millions of packages move through Amazon's outbound network every day. We foster a learning-focused environment where team members grow through mentorship, technical reviews, and exposure to complex, large-scale data challenges.

Requirements

  • 1+ 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 defining requirements and using data and metrics to draw business insights

Nice To Haves

  • Knowledge of data warehousing and data modeling
  • 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)
  • Experience with AWS Services including EC2, Lambda, S3, DynamoDB, SQS
  • Experience in transportation or supply chain
  • Knowledge of version control and agile development
  • Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders

Responsibilities

  • Collaborate with internal stakeholders to gather requirements and support end-to-end business intelligence solutions.
  • Collaborate cross-functionally to develop and maintain dashboards and visualizations that track key business performance metrics.
  • Build and maintain data pipelines and models using AWS technologies.
  • 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.
  • Support product, science, and engineering teams by building reports, dashboards, and data pipelines that help monitor and improve the performance of Amazon's outbound transportation network.
  • Gathering requirements from stakeholders.
  • Developing SQL queries.
  • Validating data accuracy.
  • Visualizing trends that inform operational decisions.
  • Contribute to team goals by digging into data to answer key business questions.
  • Identifying anomalies.
  • Sharing insights that support planning and forecasting efforts.

Benefits

  • health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • paid time off
  • parental leave
  • sign-on payments
  • restricted stock units (RSUs)
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