Business Intelligence Engineer, On-Road Staffing

DESCRIPTION

Amazon aims to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon is continually working to provide optimized service levels through the introduction of new products and services.

The On Road Staffing (ORS) team is seeking a talented Business Intelligence Engineer (BIE) to join our team, focusing on the development of Market Intelligence products. Our team is scaling processes and initiatives fast, requiring this Amazonian to hit the ground running.

This Amazonian will need to have solid business acumen, be comfortable interfacing and driving across various functional teams, have a passion for developing and implementing processes in an ambiguous problem space, and be willing to roll up their sleeves to build a program that will significantly impact Amazon’s last mile delivery capabilities. This Amazonian should have a proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced and dynamic business environment.

Key job responsibilities

• Own, design, develop, document, and manage scalable solutions for new and ongoing metrics, reports, analyses, visualizations, and dashboards to support business needs
• Own and develop queries and data visualizations for ad-hoc, recurring, troubleshooting requests and projects, as well as for ongoing reporting by leveraging SQL, Redshift, QuickSight and Tableau skillsets
• Dive deep to understand frameworks utilized for storing data and different tools and solutions used to gain access to it
• Use data mining, data modelling ,data warehousing, and other analytical techniques to develop and maintain customer segmentation and predictive models to drive the business
• Design and drive experiments to form actionable recommendations. Present to business leaders in both ad-hoc forums and routine business reviews (MBR/QBR) to drive decisions

BASIC QUALIFICATIONS

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience in Statistical Analysis packages such as R, SAS and Matlab

PREFERRED QUALIFICATIONS

• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
• Experience with economic and/or labor market data.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the Application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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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