Business Intelligence Engineer II, Alexa Devices Business Insights bei Amazon EU SARL

The Business Intelligence Engineer will be part of a high-visibility, growth in a dynamic, entrepreneurial analytics team. We are seeking an exceptionally talented and deeply focused BI Engineer with analytical skills who will build some of the largest reporting objects in Devices Forecasting space, contribute to business outcomes by analytics while also providing engineering services to our managed and centralized Tableau and AWS QuickSight dashboards. This is a unique early-stage opportunity to build the largest Amazon Devices BI environments of present day. The role holder will build their know-how rapidly and thrive in Amazon's fast-paced, Day 1 culture.

Interface with product managers, data engineers and software developers, gather requirements and deliver complete analytics/reporting solutions.
Own the design, development, and maintenance of datasets, metrics, reports, analyses, etc. to drive key business decisions.
Build and maintain Tableau or Quicksight Dashboards. Create data cubes and automated pipelines to power these dashboards.
Help product teams with analytical deep dives to help support MBRs.

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 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

Responsibilities

Interface with product managers, data engineers and software developers, gather requirements and deliver complete analytics/reporting solutions.

Own the design, development, and maintenance of datasets, metrics, reports, analyses, etc. to drive key business decisions.

Build and maintain Tableau or Quicksight Dashboards. Create data cubes and automated pipelines to power these dashboards.

Help product teams with analytical deep dives to help support MBRs.

Requirements

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 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