BI Engineer, Listing Analytics & Seller Insights

Amazon Inc.; Seattle, Northern (WA, KY); Hybrid; USD 82,000 - 144,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC in Seattle seeks a Business Intelligence Engineer for Listing Analytics to turn seller data into actionable insights and drive global selling decisions. You will collaborate with engineering to define data elements, build self‑service dashboards, and own reporting that informs leadership and cross‑functional teams across the Amazon stores.

Applicants should have experience with analytics visualization tools, scripting languages, and data modeling in large data warehouses;

Qualifications

• Experience with analytics visualization tools (e.g., Excel, Tableau, QuickSight, PowerBI) and statistical methods like t-test or Chi-squared.
• Experience with scripting languages (Python, Java, or R).
• 2+ years of experience analyzing data using Redshift, Oracle, NoSQL, etc.
• Experience with data modeling and data pipeline design.

Responsibilities

• Engage with leadership to understand BI needs and propose solutions.
• Partner with engineering to define data elements and structures for critical metrics.
• Design, implement, and support platforms for ad-hoc data access and self-service insights.
• Interface with business customers, gather requirements, and deliver complete reporting solutions.
• Own the design, development, and maintenance of metrics, reports, dashboards to drive key business decisions.

Skills

Data viz tools

Statistical methods

Scripting languages

Data analysis

Education

Master's degree or higher

Tools

Redshift

Oracle

NoSQL

Data modeling

Job description

Amazon.com Services LLC in Seattle seeks a Business Intelligence Engineer for Listing Analytics to turn seller data into actionable insights and drive global selling decisions. You will collaborate with engineering to define data elements, build self‑service dashboards, and own reporting that informs leadership and cross‑functional teams across the Amazon stores.

Applicants should have experience with analytics visualization tools, scripting languages, and data modeling in large data warehouses;