Business Intelligence Engineer III

Pay rate range – $60 / hr. to $63 / hr. on W2

5 days in the office

Must Have Tableau & Quicksight – 2yrs

SQL – 6yrs

Data Modeling – 6 yrs

Excellent Written & Verbal Communication Skills – 10yrs

Required 3 years of experience 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

Job Description We work with large amounts of novel data and provide insights that help deliver billions of packages to customers every year.

We focus on everything from high-level to granular insights that drive entitlements (financial, time), safety, and operational excellence outcomes, or strategic support of important initiatives such as the electrification of the Last Mile fleet.

Team is looking for a customer-obsessed Business Intelligence Engineer (BIE) to shape how we use data to develop strategic initiatives in the Last Mile space.

As a BIE, you will develop and lead new technical solutions and influence business-critical decisions across multiple organizations and geographies.

To be successful in this role, you'll need to be a diligent time / project manager, strong communicator, and problem solver extraordinaire.

You'll work on large, complex initiatives with a high degree of ambiguity, and you'll also advocate on behalf of customers. Great candidates will use data and analytics engineering to drive changes across multiple organizations.

In This Position, You Will Engineer critical input and output metrics

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 client data and public AWS products, including Glue, Redshift, Quicksight, and Lambda

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