26 applicants

Company

Original Job Post

Amazon · 2 days ago

Business Intelligence Engineer

Bellevue, WA

Full-time

Onsite

Mid Level

$90K/yr - $185K/yr

3+ years exp

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Responsibilities

Design automated processes for in-depth analysis databases.

Design automated data control processes.

Collaborate with the software development team to build and test the designed solutions.

Learn, publish, analyze and improve management information dashboards, operational business metrics decks and key performance indicators.

Improve tools, processes, scale existing solutions, create new solutions as required based on stakeholder needs.

Provide in-depth analysis to management with the support of accounting, finance and transportation teams.

Participate in annual budgeting and forecasting efforts.

Perform monthly variance analysis and identify risks & opportunities.

Deliver products that exceed customer satisfaction, ensure data accuracy and completeness, automate manual tasks and develop efficient data pipelines.

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 AnalysisRSASMatlabSQLPythonScriptingMetric DevelopmentBusiness PerformanceAWSData MiningETLDatabasesForecastingBusiness RequirementsDashboards

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

Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

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

Experience with forecasting and statistical analysis

Experience in discovering business requirements and creating insightful dashboards tailored for various levels of the organization, including senior leadership

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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2020 (14558)