Business Intelligence Engineer, Workforce Solutions
Amazon.com
The Workforce Solutions team is actively seeking a Business Intelligence Engineer who can build new business intelligence solutions end-to-end, with opportunities to utilize data and develop new ways to answer a wide variety of questions. Your contributions will be instrumental to tackle staffing challenges within Amazon's warehouses. The successful candidate will be a self-starter comfortable with ambiguity, have a strong attention to detail, an ability to work in a fast-paced environment, and be driven by a desire to innovate in this space.
Key job responsibilities
• Design, develop and maintain scaled, automated, user-friendly reports and dashboards
• Collaborate with business teams to understand requirements and translate them into actionable insights
• Work closely with data engineering, product management, Data Scientists and business stakeholders to deliver features to customers
• Communicate findings effectively to both technical and non-technical stakeholders through compelling data visualizations and presentations
• Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current program performance, and ad-hoc investigations to support future improvements or innovations
• Recognize and adopt best practices in reporting and analysis through data integrity, test design, analysis, validation, and documentation
Key job responsibilities
• Design, develop and maintain scaled, automated, user-friendly reports and dashboards
• Collaborate with business teams to understand requirements and translate them into actionable insights
• Work closely with data engineering, product management, Data Scientists and business stakeholders to deliver features to customers
• Communicate findings effectively to both technical and non-technical stakeholders through compelling data visualizations and presentations
• Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current program performance, and ad-hoc investigations to support future improvements or innovations
• Recognize and adopt best practices in reporting and analysis through data integrity, test design, analysis, validation, and documentation
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