BI Engineer: AI Automation Analytics & Pipelines

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

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Web Services (AWS) seeks a Business Intelligence Engineer to own measurement and analytics for agentic AI automation across BPO operations. You will quantify automation impact, build data pipelines, and partner with internal customers to deliver actionable insights.

This role focuses on reliable ETL/ELT pipelines, scheduling infrastructure, and data quality across Redshift/Glue/Airflow, driving dashboards and operational reporting for leadership.

Qualifications

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with data modeling, warehousing and building ETL pipelines
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
• Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

Responsibilities

• Design, implement, and deliver BI solutions that measure the impact of agentic AI automation on operational efficiency, accuracy, and throughput
• Identify opportunities and define key metrics to evaluate automation effectiveness and drive business strategy
• Analyze and solve problems at their root, stepping back to understand the broader context of how AI-driven workflows interact with human operations
• Build and maintain data pipelines (ETL/ELT), scheduling infrastructure, and orchestration systems that power downstream analytics and reporting
• Conduct deep-dive analyses of automation performance, formulate conclusions, and present recommendations to leadership
• Produce written insights for stakeholders that shape metric development, automation investment decisions, and operational reporting
• Simplify and automate reporting, audits, and other data-driven activities, leveraging AI tooling where applicable
• Partner with Data Engineering and platform teams to enhance data infrastructure, data availability, and broad access to automation and customer insights
• Develop and drive best practices in data integrity, pipeline reliability, validation, and documentation
• Instrument AI automation systems for measurable outcomes, working with engineering teams to close observability gaps
• Support internal customers across SMGS Operations with analytics solutions (dashboards, ad-hoc analyses, self-service tools)
• Learn and adopt new technologies and techniques to meaningfully support product and process innovation in AI-driven operations

Skills

Data analysis

Analytical thinking

Data interpretation

Business intuition

Education

Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

Tools

Tableau

Quicksight

SQL

Python

ETL tools

Job description

Amazon Web Services (AWS) seeks a Business Intelligence Engineer to own measurement and analytics for agentic AI automation across BPO operations. You will quantify automation impact, build data pipelines, and partner with internal customers to deliver actionable insights.

This role focuses on reliable ETL/ELT pipelines, scheduling infrastructure, and data quality across Redshift/Glue/Airflow, driving dashboards and operational reporting for leadership.