BI Engineer II – Alexa Devices Analytics & Dashboards

Amazon

Bellevue (WA)

On-site

USD 100,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Health insurance
RSUs
401(k) matching
Paid time off

Job summary

Amazon's Alexa devices BI team is seeking a highly skilled Business Intelligence Engineer to build large reporting objects in the Devices Forecasting space and to develop ETL pipelines, supporting Tableau and QuickSight dashboards.

You will partner with product managers, data engineers and software developers to gather requirements, design datasets and metrics, and deliver analytics that drive key business decisions while thriving in Amazon's fast-paced Day 1 culture.

Qualifications

  • 4+ years analyzing and interpreting data with Redshift, Oracle, NoSQL.
  • 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.

Responsibilities

  • Interface with product managers, data engineers and software developers, gather requirements and deliver 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.

Skills

Data analysis
SQL
Python
Statistical analysis

Tools

Tableau
Quicksight
Redshift
Oracle
NoSQL
SAS
Matlab

Job description

Amazon's Alexa devices BI team is seeking a highly skilled Business Intelligence Engineer to build large reporting objects in the Devices Forecasting space and to develop ETL pipelines, supporting Tableau and QuickSight dashboards.

You will partner with product managers, data engineers and software developers to gather requirements, design datasets and metrics, and deliver analytics that drive key business decisions while thriving in Amazon's fast-paced Day 1 culture.

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