Job Location: Santa Monica, CA
- BA/BS in Computer Science, Engineering, Mathematics or related field
- 5+ years of relevant work experience in a role requiring application of analytic skills to integrate data into operational/business planning
Job summary
We are looking for high caliber and tested Business Intelligence Engineer (BIE) to start a project with high exposure to VP and SVP level business decision making support. In this role you will define scalable processes and frameworks leveraged by multiple cross-functional teams. You will apply both business and technical acumen in a fast-paced, ambiguous and innovative environment. Our ideal teammate possesses a natural curiosity, sharp analytical skills and is excited to pioneer on behalf of customers.
If you enjoy dealing with high ambiguity, complexity and broad scope that will be at the epicenter of our initiative, come join us!
About the team
Buy with Prime is helping people reimagine the way they shop….wherever they do! Our vision is to enable every entrepreneur in the world to reach every customer in the world through every channel they can imagine. Buy with Prime is a new way to extend Prime shopping benefits—including fast, free shipping, a seamless checkout experience, and free returns—to merchants’ own online stores, ultimately increasing selection for Prime members. For over 20 years, Amazon been empowering small and medium-sized businesses with opportunities to grow. Buy with Prime is an exciting next step in our mission to help merchants of all sizes grow their business—whether on Amazon or beyond.
Inclusive Team Culture
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign opportunities based on what will help each team member develop into a better-rounded contributor.
- Advanced degree in computer science, mathematics, statistics, economics, or other quantitative field
- Experience using AWS technologies (Redshift, S3)
- Experience working in very large data warehouse environments
- Strong project management skills to coordinate projects across cross-functional teams, including business intelligence, engineering, marketing, product management, and finance.
- Demonstrated ability to influence across a large, multi-faceted organization
- Experience in consumer-facing industry
- Excellent written and verbal skills to effectively communicate to both business and technical teams, including defining business requirements and conveying key insights from complex analysis.
- Be self-driven, and show ability to deliver on ambiguous projects with limited data
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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