Business Intelligence Engineer

3+ months agoArlington, VA


The COVID Resource Center (CRC) centrally handles all COVID reporting and case management for North America, including assisting employees impacted by the virus and ensuring that appropriate actions are taken to keep Amazonians safe. We are seeking a motivated, analytically driven Business Intelligence Engineer.

As a Business Intelligence Engineer, you will generate insights that will guide operational excellence and business strategy for our customers. Data analysis is at the core Amazon's culture, and your work will have a direct impact on decision making and strategy for our organization. You will be gathering customer insights, mining data, making recommendations, and helping senior leaders make key business decisions. The ideal candidates will have excellent analytical abilities, outstanding business acumen and judgment, intense curiosity, strong technical skills, and superior written and verbal communication skills. They will have a strong bias toward data driven decision making. They will be a self-starter, comfortable with ambiguity, able to think big and be creative (while paying careful attention to detail). Enjoys working in a fast-paced dynamic environment. If you are excited about data, are results oriented, and want to join a growing analytics team within Amazon, this role is for you.

Key Responsibilities:
• Supporting strategic project planning, leveraging data to deliver insights, and deep dive on projects.
• Designing, developing and managing tools to support ongoing business reporting. Working with global Business Intelligence counterparts to develop the data pipeline and metric definitions. Building out business dashboards, visualization tools, and finance reports.
• Supporting continuous business performance optimization by designing and driving experiments to form actionable recommendations. Presenting recommendations to business leaders to drive decisions.
• Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support the needs of the business.
• Apply deep analytic and business intelligence skills to extract meaningful insights and learning from large and complicated data sets.
• Be hands-on with ETL to build data pipeline to support automated reporting.
• Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc investigations to support future improvements or innovations. This will require data gathering and manipulation, problem solving, and communication of insights and recommendations.
• Build various data visualizations to tell the story of business trends, patterns, and outliers through rich visualizations.
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.


• BA/BS in Computer Science, Engineering, Mathematics or related experience.
• 3+ years of relevant work experience in data science, business analytics, business intelligence (BI), or comparable experience in big data environments.
• 3+ years of experience in data mining and data-set preparation using SQL.
• 3+ years of experience with Tableau Desktop or other relevant data visualization software.
• Knowledge of data warehouse technical architecture, infrastructure components, ETL and reporting/analytic tools and environment.
• Be self-driven, details-oriented, and show ability to deliver on ambiguous projects with incomplete or dirty data.
• Proficient understanding of data warehousing, data modeling methods.
• Proficient with Python or other relevant scripting language


• 5+ years of experience in a data engineer or BIE role with a technology company.
• Graduate degree in Computer Science, Engineering, Mathematics, related technical field
• Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical team, and senior management as required.
• Experience working in large data warehouse environments.
• Experience conducting large scale and complex data analysis to support business decision making.

Job ID: Amazon-1462005