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Company

Original Job Post

Amazon · 3 days ago

Business Intelligence Engineer

Maricopa County, AZ

Full-time

Onsite

Mid Level

$90K/yr - $185K/yr

3+ years exp

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Responsibilities

Develop a deep understanding of Amazon’s supply chain and operations.

Own the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs.

Develop and provide analysis of actionable findings from key metrics or problems. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.

Work with product and program managers to build data sets and other products that answer their specific business questions.

Collaborate and lead Data Engineers (DEs) and Business Intelligence Engineers (BIEs) to create data pipelines, and automate manual processes using scripting languages such as Python.

Interface with technology teams to extract, transform, and load data from a wide variety of data sources.

Lead deep dive analysis of business problems, formulate conclusions and recommendations to be presented to senior leadership.

Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data AnalysisData InterpretationRedshiftOracleNoSQLData VisualizationTableauQuicksightData ModelingETL PipelinesStatistical AnalysisRSASMatlabSQLPythonScriptingAWS SolutionsData MiningETLDatabase Management

Required

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

Preferred

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

Benefits

Equity

Sign-on payments

Medical benefits

Financial benefits

Company

Amazon

Glassdoor

3.7

Amazon is a global tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.

Founded in 1994

Seattle, Washington, USA

10,001+ employees

https://amazon.com

H1B Sponsorship

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Distribution of Different Job Fields Receiving Sponsorship

Trends of Total Sponsorships

2023 (14000)

2022 (23375)

2021 (15334)

2020 (14558)