Job Information
Amazon Business Intelligence Engineer, GFP Analytics (GFPA) in Nashville, Tennessee
Description
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
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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