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Business Intelligence Engineer, ADSP Product Operations & Analytics
Amazon
On-sitemidPosted May 15, 2026
About the Role
Turn data into actionable insights, build analytics frameworks, design KPIs and dashboards, develop data models and ETL pipelines, and collaborate with teams to create centralized data tools.
Requirements
Requires ability to investigate complex business challenges, design and build resilient BI solutions using various databases, develop sophisticated data models and ETL pipelines, create optimized SQL queries, and partner with stakeholders to present performance insights.
Full Job Description
We're looking for a talented Business Intelligence Engineer who can turn data into actionable insights that drive strategic decisions. You'll work directly with business leaders to build analytics frameworks, design KPIs and dashboards, and create AI-powered workflows that help teams make smarter, data-driven choices.
-What You'll Do
In this role, you'll extract and analyze data, build reliable pipelines, spot meaningful patterns, and translate complex findings into clear stories that resonate with business stakeholders. You'll need sharp analytical skills, sound judgment, and genuine curiosity about how our business works. Most importantly, you'll collaborate with diverse teams to create centralized data tools that meet different needs, goals, metrics, and risk considerations across the organization.
-What We're Looking For
We want someone who's customer-obsessed and detail-oriented—someone who can systematically break down complex problems and find solutions. You should be comfortable leading analytics initiatives, juggling priorities across multiple projects and stakeholders, and thriving in a fast-paced, dynamic environment.
You'll join an established analytics team with a strong collaborative culture. You'll work alongside experienced professionals in an environment that encourages innovation and continuous learning.
If this sounds like you, we'd love to hear from you!
Key job responsibilities
• Investigate complex business challenges by identifying root causes of delivery gaps and operational inefficiencies while uncovering opportunities to optimize outcomes and improve overall health of business operations
• Design and build resilient business intelligence solutions using Redshift, Oracle, and NoSQL databases that maintain accuracy despite data quality variations across multiple platforms and systems
• Develop sophisticated data models and ETL pipelines that process large-scale datasets to support rapid business growth and evolving organizational needs
• Create optimized SQL queries and data transformation workflows that convert raw data into actionable dashboards tracking key performance indicators, budget metrics, and operational efficiency
• Partner with operations teams, stakeholders, and product managers to gather requirements and present performance insights that improve business outcomes
• Innovate new metrics and measurement frameworks that capture effectiveness of emerging initiatives and capabilities
• Communicate complex analyses on business trends and operational dynamics to stakeholders through clear documentation and presentations
• Collaborate across engineering, data science, and business teams to build centralized data tools
-What You'll Do
In this role, you'll extract and analyze data, build reliable pipelines, spot meaningful patterns, and translate complex findings into clear stories that resonate with business stakeholders. You'll need sharp analytical skills, sound judgment, and genuine curiosity about how our business works. Most importantly, you'll collaborate with diverse teams to create centralized data tools that meet different needs, goals, metrics, and risk considerations across the organization.
-What We're Looking For
We want someone who's customer-obsessed and detail-oriented—someone who can systematically break down complex problems and find solutions. You should be comfortable leading analytics initiatives, juggling priorities across multiple projects and stakeholders, and thriving in a fast-paced, dynamic environment.
You'll join an established analytics team with a strong collaborative culture. You'll work alongside experienced professionals in an environment that encourages innovation and continuous learning.
If this sounds like you, we'd love to hear from you!
Key job responsibilities
• Investigate complex business challenges by identifying root causes of delivery gaps and operational inefficiencies while uncovering opportunities to optimize outcomes and improve overall health of business operations
• Design and build resilient business intelligence solutions using Redshift, Oracle, and NoSQL databases that maintain accuracy despite data quality variations across multiple platforms and systems
• Develop sophisticated data models and ETL pipelines that process large-scale datasets to support rapid business growth and evolving organizational needs
• Create optimized SQL queries and data transformation workflows that convert raw data into actionable dashboards tracking key performance indicators, budget metrics, and operational efficiency
• Partner with operations teams, stakeholders, and product managers to gather requirements and present performance insights that improve business outcomes
• Innovate new metrics and measurement frameworks that capture effectiveness of emerging initiatives and capabilities
• Communicate complex analyses on business trends and operational dynamics to stakeholders through clear documentation and presentations
• Collaborate across engineering, data science, and business teams to build centralized data tools