Business Intelligence Engineer, Worldwide Defect Elimination Analytics
Core
Build automated systems, reports, and dashboards to identify defects, define KPIs, and track progress toward a defect-free customer experience.
Role type
Senior Business Intelligence Engineer (Data Infrastructure & Analytics)
Builds
Scaled automated reporting systems, data infrastructure for AI agents, and measurement mechanisms for product performance.
Domain
E-commerce / Defect Elimination Analytics / AI Data Infrastructure
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
SQL, ETL for multi-TB datasets, Design of Experiments, Statistical Analysis, AWS, Information Retrieval, Machine Learning, Data Mining, LLM-based agent automation
Preferred skills
Stakeholder translation, Executive reporting, Advanced statistics
Technologies
AWS, LLM-based agents, Feature stores, Vector search, Streaming inference pipelines
Responsibilities
Design and maintain automated user-friendly systems and dashboards; Partner with operations and ML teams to implement KPIs and data infrastructure; Develop end-to-end automation pipelines for applications and ML models; Apply analytical skills to extract insights from large complex datasets including unstructured text; Serve as liaison between business and technical teams for data gathering and modeling; Leverage LLM-based agents to automate routine analytics work.
Seniority
Senior, hands-on IC