Jobs / Ama***
Business Intelligence Engineer II, SCOT-FO, TVP
Ama*** · Austin, TX, United States
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Austin, TX, United States99,500-160,000 USD/yearlyOnsite
Remuneration
99,500-160,000 USD/yearly
Location
Austin, TX, United States
Visa sponsorship
Sponsors visa
Job summary
DESCRIPTION The Amazon Supply Chain Optimization Technologies (SCOT) team works on some of the world's most complex supply chain challenges, at Amazon scale. We understand inventory availability for the millions of items on Amazon, compute accurate delivery expectations for customer orders, and monitor fulfillment network changes to inform delivery updates and optimizations.
Benefits
That support you and eligible family members, including domestic partners and thThat generally apply to regular, full-time employees include:Medical, Dental, and Vision CoverageMaternity and Parental Leave OptionsPaid Time Off (PTO)401(k) PlanIf you are not sure that every qualification on the list above describes you exaAt Amazon, we value people with unique backgrounds, experiences, andLearn more about ourAt https://amazon.jobs/en/USA, TX, Austin - 99,500.00 - 160,000.00 USD annually
Qualifications
- Explain plan-over-plan differences or discrepancies between expected and actual performance
- Maintain dashboards and reporting, and address any data quality issues that arise
- Amazon offers a full range of
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- experience
- 1+ years of SQL, ETL or Oracle experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- 1+ years of performing statistical analysis experience
- 1+ years of developing automated reporting experience
- Experience with data visualization using Tableau, Quicksight, or similar
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc.
Responsibilities
- Collaborate with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of machine learning and econometric models
- Define, develop and maintain critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis
- Analyze historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations
- Mine and manipulate data from database tables, simulation results, and log files
- Identify data needs and drive data quality improvement projects
- Understand the broad range of Amazon's data resources, which to use, how, and when
- Provide thought leadership on data mining and analysis
- A day in the life
- Collaborate with the Engineering and Science teams to define new product features, construct data pipelines, and test new functionalities
- Learn about new Amazon
Skills
Leadership
Degrees
Associate
Industry
AutomotiveEnergyInsuranceLogisticsRetail
Company size
Smb