Key job responsibilities
Design, develop and implement dashboards, metrics, KPIs and analytical reports to drive key business decisions supporting Amazon's 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
About the team
ShipTech Analytics serves as the data and analytics backbone for Amazon's 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
2+ years of Tableau Desktop, Quicksight or other relevant data visualization software 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 using SQL (Structured Query Language) to pull data from a database or data warehouse
Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
