Business Intelligence Engineer II, Amazon Key
Listed on 2026-09-12
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IT/Tech
Data Engineering, Data Analyst, Data Warehousing
Seattle, WA
Full-time
Onsite
$90K/yr - $185K/yr
3+ years exp
Amazon Key team is seeking a passionate Business Intelligence Engineer to help drive the transformation of customer delivery experience. The role involves creating and optimizing table structures, identifying KPIs, generating reports, and analyzing data to inform strategic initiatives.
Consumer Goods Public Safety Internet of Things Consumer Electronics Security Smart Home
ResponsibilitiesDesign, implement, and support a platform providing ad hoc access to large datasets
Manipulate/mine data from database tables (ex. Redshift, MySQL, Oracle) using SQL and ETL
Develop analytical tools: deep-dive tools, UIs, metrics, and dashboard
Perform deep-dives and root cause analysis to answer business questions
Work with cross functional stakeholders in defining the source of truth and obsessively making sure the data fidelity is high
Effectively communicate (written and verbal) solutions and methodologies to senior leadership
Work with engineering teams to enable the appropriate capture and storage of data
Complete ad hoc data retrieval and analysis
Monitor existing metrics, develop and propose new metrics, and identify new, actionable risk signals
QualificationSQL Data Visualization ETL Pipelines Data Modeling Statistical Analysis Python Redshift Oracle No
SQL AWS EC2 AWS DynamoDB AWS S3 AWS Redshift Tableau Quicksight R SAS Matlab
3+ years of analyzing and interpreting data with Redshift, Oracle, No
SQL 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
PreferredExperience 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
Equity
Sign-on payments
Full range of medical, financial, and/or other benefits
Home security systems, cameras, alarms, and doorbells.
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