Sr. BIE, Amazon Leo B2B
Amazon - Bellevue, Washington, USA
Posted May 8, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Sr. BIE, Amazon Leo B2B Bellevue, Washington, USA Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable broadband connectivity to customers beyond the reach of existing networks. From households to small businesses, schools, hospitals, and government agencies, Amazon Leo will serve communities and organizations operating in places without dependable internet access. The Amazon Leo Business-to-Business (B2B) team is looking for a talented individual for a high-visibility role to define the team's business intelligence (BI) vision, strategy, and best practices across a number of business domains. You will develop and optimize models to forecast revenue, product mix, and sales pipelines for business and operational planning across multiple countries. You will flex to instrument metrics and insights for business reviews (e.g. automated dashboards) and play a key role in creating scalable mechanisms for different B2B disciplines. The ideal candidate is a self-starter who is comfortable with high degrees of ambiguity, going deep across multiple business teams, and will uphold high standards across a wide range of domains. They are comfortable working with data science and engineering teams to use data and infrastructure environments as well as with business audiences to quantify business impact and establish roadmaps. Key job responsibilities • Develop pre-launch and post-launch reporting methodologies for revenue attainment, sales forecasts, labor demand and capacity management, product and service plan mix, and seasonality. • Analyze large data sets to identify patterns and drive strategic shifts in business practices, impacting key decisions and customer experience. •
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