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Description

Rapid and Rural Logistics is a rapidly growing area of Amazon fulfillment that includes rush service and super rural delivery. As a Business Intelligence (BI) Engineer, your focus will be on providing metrics, operational insight, and other analytical support to stakeholders for the Sub-Same Day (SSD) . SSD involves delivering packages within one of five specific promise windows, generally within 24 hours of order time. Many SSD stations are in metropolitan areas, where fulfillment center and delivery station are co-located to help expedite delivery.

Candidates will have excellent analytical abilities, sound judgment, curiosity, strong technical skills, and superior written and verbal communication skills. They will have a strong bias toward data driven decision making. They must be a self-starter, comfortable with ambiguity, and able to think big and be creative to support a rapidly growing business that operates like a start-up within Amazon. If you are excited about data, are results oriented, and want to join a growing analytics team, this role is for you.

Key job responsibilities

Provide technical expertise in extracting, integrating, and analyzing critical data for On Road operations.

Clearly communicate any potential discrepancies and/or reporting downtime, including specific root cause and steps to resolution

Design and develop key performance metrics and indicators

Be hands-on with ETL to build data pipelines to support automated reporting

A day in the life

You will create interactive dashboards and data visualizations that are widely used throughout the organization

You will provide technical and business expertise in integrating data from a variety of source systems and presenting it through an array of self-service applications

You will perform ad hoc analysis to quickly identify high priority and time sensitive operational issues relating to new delivery mechanisms and pilot programs

You will work with key stakeholders to document and translate business requirements into technical requirements

Basic Qualifications

- 10+ years of professional or military experience

- 5+ years of SQL experience

- Experience programming to extract, transform and clean large (multi-TB) data sets

- Experience with theory and practice of design of experiments and statistical analysis of results

- Experience with AWS technologies

- Experience in scripting for automation (e.g. Python) and advanced SQL skills.

- Experience with theory and practice of information retrieval, data science, machine learning and data mining

Preferred Qualifications

- Experience working directly with business stakeholders to translate between data and business needs

- Experience managing, analyzing and communicating results to senior leadership

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 $117,300/year in our lowest geographic market up to $202,800/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.