BIE II, ShipTech Analytics, ShipTech Analytics
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Monthly Salary:
Posted on:
8 hours ago
Vacancies:
1 Vacancy
Job Summary
Do you want to be in the forefront of engineering big data analytical solutions that takes Amazons 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 top notch Business Intelligence Engineers to be part of ShipTech Analytics team to build data and analytics solutions powering Amazons 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 II youll work on building analytical solutions that empower operations teams worldwide. Youll develop both near-real-time (NRT) streaming pipelines and batch processing pipelines that deliver critical insights for decision-making. Youll also build metrics for the transportation network while contributing to innovative AI-powered solutions delivering automated insights across the transportation network.
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. The candidate is a self-starter comfortable with ambiguity able to think big (while paying careful attention to detail) and enjoys working in a fast-paced and global team. Were excited to talk to those up to the challenge!
Key job responsibilities
- Design develop and implement dashboards metrics KPIs and analytical reports to drive key business decisions supporting Amazons global transportation network
- Partner with business stakeholders across operations and analytics teams to gather business requirements and translate into technical solutions
- Collaborate with technology teams to extract transform and load data from a wide variety of data sources using SQL and ETL tools
- Build and deliver high quality data pipelines to support data engineers business analyst data scientists and customer reporting needs
- Combine knowledge of statistical methodology and analysis with programming skills to support complex business problems
- Continually improve ongoing reporting and analysis processes automating analytical pipelines and build AI-powered solutions
- Implement training and documentation solutions that enable business stakeholders to get the most out of our self-serve reporting tools
- Must possess solid verbal and written communication skills be self-driven and deliver high quality results in a fast-paced environment
- Enjoy working closely with your peers in a group of smart and talented engineers
About the team
ShipTech Analytics serves as the data and analytics backbone for Amazons global transportation network. The team builds standardized data solutions that streamline analytics and enable faster decision-making for operations teams worldwide. Team members collaborate with cross-functional partners to deliver data products and tools.
The team is modernizing systems building near-real-time architectures and building AI-powered automation. Team members have opportunities to mentor others prototype new ideas and shape the future of the data analytics. The team values collaboration across geographies with members in multiple locations working together to serve global operations.
- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with data modeling warehousing and building ETL pipelines
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- Experience in data mining ETL etc. and using databases in a business environment with large-scale complex datasets
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
As a BIE II youll work on building analytical solutions that empower operations teams worldwide. Youll develop both near-real-time (NRT) streaming pipelines and batch processing pipelines that deliver critical insights for decision-making. Youll also build metrics for the transportation network while contributing to innovative AI-powered solutions delivering automated insights across the transportation network.
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. The candidate is a self-starter comfortable with ambiguity able to think big (while paying careful attention to detail) and enjoys working in a fast-paced and global team. Were excited to talk to those up to the challenge!
Key job responsibilities
- Design develop and implement dashboards metrics KPIs and analytical reports to drive key business decisions supporting Amazons global transportation network
- Partner with business stakeholders across operations and analytics teams to gather business requirements and translate into technical solutions
- Collaborate with technology teams to extract transform and load data from a wide variety of data sources using SQL and ETL tools
- Build and deliver high quality data pipelines to support data engineers business analyst data scientists and customer reporting needs
- Combine knowledge of statistical methodology and analysis with programming skills to support complex business problems
- Continually improve ongoing reporting and analysis processes automating analytical pipelines and build AI-powered solutions
- Implement training and documentation solutions that enable business stakeholders to get the most out of our self-serve reporting tools
- Must possess solid verbal and written communication skills be self-driven and deliver high quality results in a fast-paced environment
- Enjoy working closely with your peers in a group of smart and talented engineers
About the team
ShipTech Analytics serves as the data and analytics backbone for Amazons global transportation network. The team builds standardized data solutions that streamline analytics and enable faster decision-making for operations teams worldwide. Team members collaborate with cross-functional partners to deliver data products and tools.
The team is modernizing systems building near-real-time architectures and building AI-powered automation. Team members have opportunities to mentor others prototype new ideas and shape the future of the data analytics. The team values collaboration across geographies with members in multiple locations working together to serve global operations.
- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with data modeling warehousing and building ETL pipelines
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- Experience in data mining ETL etc. and using databases in a business environment with large-scale complex datasets
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
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