Have you ever ordered a product on Amazon and wondered how that package got to you so fast? Have you ever wondered where it came from and what series of events helped make that delivery possible?
If so, the Global Fleet and Products Analytics team is for you!
We (GFPA) 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 strategic support, to strategic initiatives (e.g., Electrification), down to granular insights that drive entitlements, operational excellence, safety outcomes, or fleet-based efficiencies.
The GFPA 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 with massive scale, and influence multiple organizations and geographies.
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.
This role may be located out of Austin, Nashville, or Seattle.
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
- 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
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Knowledge of SQL and data warehousing concepts
PREFERRED QUALIFICATIONS
- Master'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
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience with data modeling, warehousing and building ETL pipelines
Business Intelligence Engineer, GFP Analytics (GFPA)
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