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Amazon Business Intelligence Engineer in Bellevue, Washington

Description

At Amazon, we are working to be the most customer-centric company on Earth. Amazon Fulfillment Technologies (AFT) powers the physical engine at the heart of Amazon. AFT builds and operates the software, hardware, and processes that run the global network of fulfillment centers, which move billions of units of inventory and ensures customers get what they want when promised. Within AFT, we are constantly innovating in the ways we automate and accelerate the delivery of products and packages, using state of the art software and hardware technologies, while keeping our associates and partners safe. We leverage the latest AWS technologies, big data approaches, and ML to build distributed, highly available systems. We get to work across a diverse set of organizations and stakeholders to achieve our goals.

Our Outbound & Flow team is looking for a Business Intelligence Engineer to deliver insights and analysis across our product portfolio. You will own metrics, dashboarding and measurement across platforms and products which help Fulfillment Centers (FCs i.e. Amazon Warehouses) around the world to operate efficiently by automating the flow of customer orders through the FC. These platforms/products optimize the various processes used to fulfill customer orders including picking, packing, shipping and other processes. Your work will directly influence Amazon business and customer promise.

Key job responsibilities

  • Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems

  • Analyze and solve problems at their root, stepping back to understand the broader context.

  • Use data mining, model building, and other analytical techniques to develop and maintain customer segmentation and predictive models to drive the business.

  • Conduct deep dive analyses of business problem statements and formulate conclusions and recommendations to leadership

  • Identify opportunities and key criteria to drive analytical reporting and business strategy

  • Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting

  • Simplify and automate reporting, audits, and other data-driven activities

  • Partner with Data Engineering to enhance data infrastructure, data availability, and broad access to customer insights

  • Develop and drive best practices in data integrity, consistency, analysis, validations, and documentation

  • Learn new technology and techniques to meaningfully support product and process innovation

A day in the life

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

  1. Medical, Dental, and Vision Coverage

  2. Maternity and Parental Leave Options

  3. Paid Time Off (PTO)

  4. 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

About the team

Amazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.

Outbound & Flow

AFT’s Outbound & Flow team pairs data science with innovative technologies to optimize throughput within every Amazon fulfillment center. We deliver smiles for Amazon customers with safe, sustainable, cost-effective, on-time package deliveries.

Basic Qualifications

  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

  • Experience with data modeling, warehousing and building ETL pipelines

  • Experience with data visualization using Tableau, Quicksight, or similar tools

  • Experience writing complex SQL queries

  • 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

Preferred Qualifications

  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

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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