Senior BI Engineer, Prescriptive Analytics - AWS Marketplace

Amazon Web Services (AWS); Seattle (WA); Vor Ort; USD 130.000 - 176.000; Vollzeit

Benefits dieser Stelle

Health insurance

401(k) matching

Paid time off

Parental leave

Zusammenfassung

Amazon Development Center U.S., Inc. in Seattle seeks a Senior Business Intelligence Engineer to own analytics end to end for the Marketplace’s highest-visibility launches and to build trusted data foundations powering self-service tooling across the org.

This role moves beyond dashboards, driving prescriptive analytics and setting technical standards while partnering with product and engineering to ensure analytics-ready data.

Qualifikationen

• 5+ years of experience as a Data Analyst, Data Engineer, BI Analyst, or related role
• 5+ years of SQL/ETL experience
• Experience in scripting for automation (e.g. Python) and advanced SQL
• Bachelor's degree or foreign equivalent in statistics, data science, or a quantitative field

Aufgaben

• Own analytics end to end for complex, ambiguous problems from data models to leadership insights
• Own analytics for high-visibility launches: telemetry design, attribution, day-one metrics, and post-launch funnel analysis
• Build standardized, reusable reporting infrastructure to ease onboarding of new launches
• Design trusted data foundations (metric layers, data dictionaries, semantic layer) for agentic analytics
• Lead strategic deep dives and deliver leadership-ready narratives with recommendations
• Influence product/engineering on upstream data requirements so analytics-ready by design
• Present insights to senior stakeholders and mentor junior BIEs

Kenntnisse

SQL

Python

ETL

Data analysis

Ausbildung

Bachelor's degree in statistics/data science or quantitative field

Tools

Oracle

Jobbeschreibung

Amazon Development Center U.S., Inc. in Seattle seeks a Senior Business Intelligence Engineer to own analytics end to end for the Marketplace’s highest-visibility launches and to build trusted data foundations powering self-service tooling across the org.

This role moves beyond dashboards, driving prescriptive analytics and setting technical standards while partnering with product and engineering to ensure analytics-ready data.