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

Amazon; Westborough (MA); On-site; USD 90,000 - 150,000; Full time

Job summary

An established industry player is seeking a Sr. Business Intelligence Engineer to drive analytics and insights across product development. This role involves building innovative systems that inform stakeholders on key performance indicators, optimizing data pipelines, and automating reporting processes. With a focus on collaboration, the ideal candidate will leverage deep technical expertise and business acumen to support decision-making at all levels. Join a dynamic team where your contributions will directly impact the business and drive efficiency in operations. If you thrive in fast-paced environments and are passionate about data-driven solutions, this opportunity is perfect for you.

Qualifications

• 7+ years of SQL experience and advanced scripting skills.
• Experience with large datasets and AWS technologies.

Responsibilities

• Design and maintain automated systems and dashboards.
• Partner with teams to develop KPIs and reporting solutions.

Skills

SQL

Python

Data Analysis

Statistical Analysis

Data Science

Machine Learning

Data Warehousing

Lean Six Sigma

Education

Master's degree in statistics, data science, or related field

Bachelor's degree in a relevant field

Tools

AWS Technologies

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.

Get AI-powered advice on this job and more exclusive features.

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 DfS Business Intelligence & Analytics team’s charter is to inform the executive, technical, operations, and corporate stakeholders of key business performance and financial indicators with high confidence and fidelity via rigorous systems and statistical analysis. These indicators will inform dynamic models that reflect the current product testing and deployment scope, traceable to product requirements, providing a concise and live view of the product’s financial, supply chain, manufacturing, maintenance & reliability, widget, process, and scaled deployment risks. This system will support efficient approval reviews using key business metrics (IRR/NPV/TCO/COPQ/Enterprise Risk) and allow deep dives into metric inputs (MTBI/MTBF/MTTR/DPMO/TPH, etc.) down to individual machine PLCs.

The DfS BIE position offers high visibility, interfacing regularly with senior technical and non-technical stakeholders. Candidates should be comfortable with ambiguity, thrive in fast-paced environments, and be committed to continuously improving their technical skills. Attention to detail, collaboration, and the ability to translate business problems into technical requirements are essential.

The ideal candidate will possess deep business and technical knowledge to facilitate data-driven discussions, anticipate future requirements, and optimize data pipelines and models. They should be frugal in their approach, leveraging existing infrastructure and eliminating waste. The outputs must be statistically accurate, back-testable, traceable, and actionable. Business acumen and judgment are crucial, especially when advising executives during ambiguous situations. The candidate will manage multiple large-scale projects simultaneously, requiring strong organizational skills.

The BIE should understand system capabilities and limitations (e.g., cluster size, concurrent users, data classification), communicate these effectively to technical and non-technical audiences, and advocate for necessary technological investments. Code quality and analytics approaches must be exemplary, with solutions that are robust, scalable, extensible, and maintainable.

The BIE will own team infrastructure, provide system-wide design guidance, drive BI engineering best practices (e.g., operational excellence, code reviews, metric definitions), and set cross-team standards. Building consensus through data and statistical analysis is key to resolving discordant views and guiding stakeholders.

Key job responsibilities

• Design, develop, and maintain scaled, automated, customer-centric systems, reports, dashboards, etc.
• Partner with executive, engineering, operations, business, finance, and machine learning teams to develop and implement KPIs, automated reporting, and data infrastructure improvements.
• Automate PLC to dashboard pipelines for machine performance and health metrics.
• Apply analytical skills to extract insights from large, complex datasets, culminating in accurate financial modeling and forecasts.
• Report results to executive groups via exit gate reviews, QBR/MBR, OP1/2, etc.
• Serve as a liaison with business and technical teams to gather data, solve problems, model data, and communicate insights and recommendations.

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 (multi-TB) datasets
• Experience with AWS technologies
• Knowledge of data science, machine learning, and data mining
• Experience with design of experiments 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 in developing metrics and reporting solutions
• 10+ years of experience in business/project finance

Amazon is an equal opportunity employer. If you need workplace accommodations during the application process, please visit this link.