Senior BI Engineer, Seller Growth Analytics

Amazon Inc.; Seattle (WA); On-site; USD 100,000 - 160,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is hiring a Business Intelligence Engineer, SSP Analytics, Seller Success Programs Analytics, to shape how new sellers launch and grow globally. You will work with large data warehouses to provide data-driven insights and build dashboards that drive onboarding, registration, and growth across Amazon stores.

The role requires strong SQL/ETL skills, data visualization experience, and the ability to partner with product managers and engineers.

Qualifications

• Excellent verbal and written communication skills.
• Experience analyzing data in large data warehouses.
• Experience with SQL, ETL, and Oracle.
• Experience in data visualization tools (Tableau/Quicksight).
• Experience building ETL pipelines and data models.
• Bachelor’s degree in a related field.

Responsibilities

• Engage with leadership to understand BI needs and recommend solutions.
• Define data elements and structures for new seller metrics.
• Design and support platforms for self-service deep dives and dashboards.
• Deliver complete reporting solutions and ad-hoc analyses.
• Own metrics, reports, and dashboards to drive business decisions.
• Collaborate with data engineering and software teams to capture key data points.

Skills

Communication

Analytical thinking

Stakeholder management

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or related field

Tools

SQL

ETL

Tableau

Quicksight

Oracle

Redshift

Python

Job description

Amazon is hiring a Business Intelligence Engineer, SSP Analytics, Seller Success Programs Analytics, to shape how new sellers launch and grow globally. You will work with large data warehouses to provide data-driven insights and build dashboards that drive onboarding, registration, and growth across Amazon stores.

The role requires strong SQL/ETL skills, data visualization experience, and the ability to partner with product managers and engineers.