Job Description
Do you have a passion for customer experience and a mindset for data-driven problem solving? Do you excel in dynamic, fast-paced environments and find joy in converting data into actionable insights? Are you adept at implementing data governance practices, defining data access and quality standards, and using AI to modernize analytics platforms? Do you enjoy innovating at speed to deliver scalable analytics solutions? If so, then Central Programs Analytics has an exciting opportunity for you!
Key job responsibilities
As a Business Analyst in this team, you will be a thought leader in Amazon Sort Centers and work with talented program managers, product managers, operations, and business leaders to design the Amazon network of the future. This position requires analytical thinking and the ability to solve large ambiguous problems by applying analytics and technical expertise to rapidly analyze, validate, visualize, prototype, and deliver solutions.
This position requires significant cross-functional collaboration with transportation, tech, operations, and finance teams. We are looking for a detail-oriented, highly analytical, innovative, and customer-obsessed Business Analyst who will create best-in-class solutions for the middle mile network, delivering high quality customer experiences while minimizing cost and improving fulfillment speed.
This role requires you to drive cross-functional initiatives and understand the long-term requirements of all programs that leverage sort centers. The ideal candidate will have strategic thinking abilities, analytical acumen, and communication skills with the ability to thrive in ambiguous situations and deliver results independently.
A day in the life
As a Business Analyst, your key daily responsibilities will include:
- Participate in projects and sprint planning to drive project execution
- Design data warehouse solutions and develop ETL/datalake pipelines
- Monitor system performance and data quality metrics to ensure optimal operations
- Conduct stakeholder meetings and present insights to senior leadership
- Manage multiple concurrent projects while maintaining delivery timelines
- Implement and maintain data governance standards and best practices
- Drive architectural decisions for scalable data solutions and continuous improvement
Numbers & Facts
| Location | Bellevue, WA |
| Industry | Retail |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://Amazon.com/militaryroles |
About Company
At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Skills
- Analysis Skillsunmatched
- Architectural Servicesunmatched
- Artificial Intelligence (AI)unmatched
- Best Practicesunmatched
- Business Analysisunmatched
- Communication Skillsunmatched
- Continuous Improvementunmatched
- Cross-Functionalunmatched
- Customer Experienceunmatched
- Data Qualityunmatched
- Data Warehousingunmatched
- Database Extract Transform and Load (ETL)unmatched
- Detail Orientedunmatched
- Financeunmatched
- Leadershipunmatched
- Multitaskingunmatched
- Network Designunmatched
- Performance Analysisunmatched
- Problem Solving Skillsunmatched
- Project Executionunmatched
- Project Planningunmatched
- Project/Program Managementunmatched
- Prototypingunmatched
- Quality Metricsunmatched
- Sprint Planningunmatched
- Technical Operationsunmatched
- Thought Leadershipunmatched
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