In this role you will be responsible for solving complex and ambiguous data and metric problems. You will use latest AWS provided Data Analytics and GenAI tools (such as Quicksight, Amazon Q, Sagemaker) to provide business metrics for senior leaders. You should have a track record of end-to-end ownership and successfully delivering results in a fast-paced and dynamic business environment. You should be able to work on complex initiatives, deal with ambiguity. You will be required to work with senior leaders, product managers, procurement, finance, operations, program managers and other data teams to drive new innovations
Key job responsibilities
As a business intelligence engineer, you will/may:
* Be highly data driven, resourceful, customer-obsessed and team oriented
* Use latest AWS provided data analytics and GenAI tools (such as Quicksight, Amazon Q, Sagemaker)
* Design, develop, and implement scalable, automated processes for data extraction, processing, and evaluation
* Define data driven approaches and metrics strategy to uncover new insights
* Have a passion for sourcing, manipulating, and visualizing data to tell business stories
* Be able to clearly communicate strategic findings and recommendations
* Translate complex, technical concepts into business terms and vice versa
* Work with engineering and data teams to support the development of tools and dashboards
About the team
At Amazon, we're continually working to be the most Customer-centric company on earth. Transportation is integral to that, as its the final touch-point for our customers receiving their purchases, and our customers depend on our fast and reliable delivery. Our goal is to exceed the expectations of all our customers by ensuring that their orders, no matter how large or small are delivered as fast as feasibly possible, and on time, every time. Our team is responsible for 3P transportation overall incl strategy, procurement, ops execution. We have to continually innovate in our transportation networks, and work towards providing best in class service levels, this is where our analytics and automation initiatives come in.- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with SQL
- Experience in the data/BI space- 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
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (
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