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IntePros

Business Intelligence Engineer

IntePros, Bellevue, Washington, us, 98009


Business Intelligence Engineer V

Contract Role W2 only No C2C Onsite ~ Nashville, TN or Bellevue, WA

Pay Range ~ $70-$80/hr depending on qualifications

Our client 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 with 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 Amazon data and public AWS products including Glue, Redshift, Quicksight, and Lambda.

Basic qualifications 3+ years of analyzing and interpreting data with Redshift, Oracle.

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 Detail Labor.

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