Sr. Business Intelligence Engineer, , DfS Analytics and Business Intelligence

Amazon; North Reading (MA); On-site; USD 90,000 - 140,000; Full time

Job summary

An established industry player is seeking a Sr. Business Intelligence Engineer to enhance their analytics capabilities. This high-visibility role involves building and managing innovative business intelligence systems that inform key stakeholders about product impact and performance. You will work closely with various teams, leveraging your expertise in SQL, Python, and AWS technologies to drive data-driven decisions and influence business outcomes. If you thrive in a fast-paced environment and are passionate about transforming data into actionable insights, this opportunity is perfect for you.

Qualifications

• 7+ years of SQL and automation scripting experience.
• Expertise in data science and statistical analysis.

Responsibilities

• Design and maintain automated systems and dashboards.
• Collaborate with teams to develop KPIs and improve data infrastructure.

Skills

SQL

Python

Data Analysis

AWS Technologies

Statistical Analysis

Data Warehousing

Machine Learning

Education

Bachelor's degree

Master's degree in Statistics or Data Science

Tools

AWS

Data Visualization Tools

Job description

Sr. Business Intelligence Engineer, DfS Analytics and Business Intelligence

Join to apply for the Sr. Business Intelligence Engineer, DfS Analytics and Business Intelligence role at Amazon

Job Description

The Design for Scale (DfS) Business Intelligence Engineer will build and manage a novel Business Analytics and Intelligence mechanism to inform the business on product impact throughout the Product Development Process. The team’s charter is to inform stakeholders of key business performance and financial indicators with high confidence and fidelity via rigorous systems and statistical analysis. These indicators will support dynamic models that reflect current product testing and deployment scope, traceable to product requirements, providing a concise, live view of risks across various domains such as Financial, Supply Chain, Manufacturing, Maintenance & Reliability, and more. The system will facilitate efficient approval reviews with key metrics (IRR/NPV/TCO/COPQ/Enterprise Risk) at the top level, with drill-down capabilities into detailed metric inputs (MTBI/MTBF/MTTR/DPMO/TPH, etc.) down to individual machine PLCs.

The DfS BIE is a high-visibility role interfacing regularly with senior technical and non-technical stakeholders. The candidate should be comfortable with ambiguity, thrive in a fast-paced environment, and possess strong attention to detail. They should be capable of transforming business problems into technical requirements and deliverables, leveraging their expertise to drive data-driven discussions and influence future requirements. The candidate should also have a frugal, lean approach, utilizing existing infrastructure effectively.

The role requires understanding system capabilities and limitations, explaining these to diverse audiences, and ensuring code and analytics are exemplary—robust, scalable, and maintainable. The BIE will own team infrastructure, set standards, drive best practices, and build consensus using data and statistics to support decision-making. Managing several large-scale projects concurrently requires excellent program organization.

Key Responsibilities

• Design, develop, and maintain automated, customer-centric systems, reports, and dashboards.
• Collaborate with executive, engineering, operations, business, finance, and machine learning teams to develop KPIs, automate reporting, and improve data infrastructure.
• Automate pipelines for machine performance and health metrics from PLC to dashboards.
• Apply analytics to extract insights from large, complex data sets, supporting accurate financial modeling and forecasting.
• Present results to executive groups via reviews and reports.
• Serve as a liaison with technical and business teams to gather data, solve problems, model data, and communicate insights.

Basic Qualifications

• 7+ years of SQL experience
• 7+ years of professional or military experience
• Experience in scripting for automation (e.g., Python) and advanced SQL skills
• Experience working with large data sets (multi-TB)
• Experience with AWS technologies
• Knowledge of data science, machine learning, data mining, and information retrieval
• Experience with experimental design and statistical analysis
• Knowledge of data warehousing and data modeling
• Experience with Mechatronics, Supply Chain Quality, Safety, Compliance, Lean Six Sigma, and Business Finance

Preferred Qualifications

• Master's degree in statistics, data science, or related field
• Experience developing metrics, reports, and reporting solutions
• 10+ years of experience in Business/Project Finance

Amazon is an equal opportunity employer. Support for workplace accommodations is available during the application and hiring process. For more info, visit this link.