Job Description
Do you want to be in the forefront of engineering big data analytical solutions that takes Amazon"s global transportation models to the next generation? Do you have a solid analytical thinking, metrics driven decision making and want to solve problems with solutions that will meet the growing worldwide need? We are looking for strong senior Business Intelligence Engineers to be part of ShipTech Analytics team to build data and analytics solutions powering Amazon"s global transportation network. We perform data modeling, build real time analytical platforms using big data tools and AWS technologies like Hadoop, Spark, EMR, SNS, SQS, Lambda, Kinesis Firehose, DynamoDB Streams.
As a BIE, you"ll work on building analytical solutions that empower operations teams worldwide. The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics. The candidate is an expert with data modeling, ETL design and business intelligence tools and passionately partners with the business to identify strategic opportunities where improvements in data infrastructure creates out-sized business impact and is a self-starter, comfortable with ambiguity, able to think big, and enjoys working in a fast-paced and global team. The candidate will also build metrics for the transportation network, while contributing to innovative AI-powered solutions delivering automated insights across the transportation network.
Key job responsibilities
Design and build scalable ETL and metrics supporting Amazon"s global transportation network.
Build data reporting and data tools that streamline the complete business lifecycle
Partner closely with stakeholders across operations and analytics teams to understand requirements, design solutions, and deliver metrics and insights that enable faster, more informed decision-making
Own data quality and implement enhancements for datasets that enable operational excellence and improve customer experience
Collaborate with cross-functional teams to standardize analytics capabilities and build AI-powered automation
Leverage AWS cloud technologies to transform raw data into actionable metrics
Drive continuous improvement through code reviews, design discussions, and operational best practices
Partner with senior engineers and principal engineers to solve problems at scale to improve existing data services, building new ones, that enhance customer experience
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
- AWS Lambdaunmatched
- Amazon Web Services (AWS)unmatched
- Analysis Skillsunmatched
- Apache Hadoopunmatched
- Apache Sparkunmatched
- Artificial Intelligence (AI)unmatched
- Automationunmatched
- Best Practicesunmatched
- Big Dataunmatched
- Business Intelligenceunmatched
- Business Intelligence Softwareunmatched
- Business Operationsunmatched
- Business Strategyunmatched
- Code Reviewsunmatched
- Continuous Improvementunmatched
- Cross-Functionalunmatched
- Customer Experienceunmatched
- Data Analysisunmatched
- Data Modelingunmatched
- Data Qualityunmatched
- Data Setsunmatched
- Database Extract Transform and Load (ETL)unmatched
- Database Report Toolsunmatched
- Electronic Medical Recordsunmatched
- Metricsunmatched
- Operational Auditunmatched
- Operational Improvementunmatched
- Problem Solving Skillsunmatched
- Process Improvementunmatched
- Scalable System Developmentunmatched
- Simple Queue Service (SQS)unmatched
- Transportation Modelingunmatched
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