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Business Intelligence Engineer V

Job ID: 24-06061
Pay rate range $75/hr. to $77/hr. on W2
Bellevue, WA

The team is looking for a BIE to shape how we use data to support a wide range of strategic initiatives in the Last Mile space.
As a BIE on our team, you will develop and lead new technical solutions, influence business-critical decision-making on a massive scale, and influence multiple organizations and geographies.
This BIE in particular will be working on a cross-functional, highly ambiguous problem space with the Cross Channel Marketing (XCM) team.
To be successful in this role, you'll need to be an excellent time, project, and customer manager, great communicator, and problem solver extraordinaire.
You'll work on complex initiatives that have never been solved before.
Excellent candidates will be able to work with a high degree of ambiguity and use data/analytic engineering to drive meaningful changes.
All candidates need bar-raising SQL abilities, as the BIE will work with large amounts of nuanced data on fleet systems across a WW scope.

In this position, you will:
• Provide strategic advisory to business teams and leaders that liaise technical and business needs.
• Engineer critical input and output metrics using excellent SQL/scripting
• Create performance metrics to measure operational performance, identify root causes and trends, and prescribe action plans for delivery stations around the globe
• Manage metrics across multiple projects simultaneously
• Work with product, technology, and analytics teams to support the development of tools and dashboards
• Communicate with and support various internal stakeholders and external audiences
• Learn, explore, apply, and gain expertise in many internal  data and public AWS products including Glue, Redshift, Quicksight, and Lambda

Basic qualifications
• 3+ years of analyzing and interpreting data with Redshift, and Oracle, 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 Python
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred Qualifications
• 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
 
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