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BI Engineer

BI Engineer

Job ID 
509340
Location 
US-WA-Seattle
Posted Date 
3/8/2017
Company 
Amazon Corporate LLC
Position Category 
Business Intelligence
Recruiting Team 
..

Job Description

We are seeking an experienced Business Intelligence Engineer to join our Amazon Logistics HR Team and participate in the design and development of creative and innovative analytics and data visualizations. The HR Reporting and Analytics BI engineer will support solutions that provide business performance reporting and analysis capability for Amazon’s specialty HR organization that includes Amazon Logistics, Amazon Fresh, PrimeNow, and Campus. Building a fleet of robust reporting capability to support locations and lines of business globally is the primary focus. The successful candidate will be analytical, have a strong customer focus and a passion for process improvement.

First things first, you know SQL and data modeling like the back of your hand. You have a history of coming up with innovative solutions to complex technical problems. You are a quick and willing learner of new technologies and have examples to prove your aptitude. You are not tool-centric; you determine what technology works best for the problem at hand and apply it accordingly. You can explain complex concepts to your non-technical customers in simple terms.

Join the Amazon Logistics HR team and turn your dream BI Engineer job into reality as we are building innovative solutions and advanced reporting services built around AWS technology.

You are analytical.
You are creative.
You love data.
You feel the data.
You tell a story with the data.

You will have the opportunity to display your skills in the following areas:
- Interface with business customers, gathering requirements and delivering complete BI solutions.
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL
- Own the design, development, and maintenance of ongoing metrics, reports, analysis, dashboards, etc. to drive key business decisions
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
- See what others are not able to see – identify existing issues with processes, discover hidden opportunities

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation


Basic Qualifications

  • Bachelor's degree in Computer Science/Math/Engineering
  • 3+ years of work experience writing advanced SQL, data modeling, data mining (SQL, ETL, data warehousing) and using databases in a business environment with complex datasets
  • Knowledge with TABLEAU, Microsoft Excel to include developing charts, data manipulation, pivot tables, creating macros, and visual basic knowledge
  • Experience with Oracle, Redshift, Teradata, and other data warehouses.
  • Experience in using SQL to analyze data in a database or data warehouse and be able to use a major programming (e.g. Java/C) and/or a scripting language (Perl, Unix shell) to process data for modeling
  • Experience working with a wide range of predictive and decision models and data mining techniques, as well as tools for developing such models
  • Ability to create dashboards and reports in an actionable way to drive business change

Preferred Qualifications

  • Very strong experience with Tableau and similar visualization tools.
  • Hands-on expertise in many disparate technologies, typically ranging from front-end user interfaces through to back-end systems and all points in between
  • Experience building complex data models and automating data extraction from multiple sources.
  • Experience working with a wide range of predictive and decision models and data mining techniques, as well as tools for developing such models
  • Impeccable customer service with a demonstrated desire to exceed expectations; a team player with a solid work ethic
  • Great organizational skills and attention to detail; you are able to juggle and prioritize multiple tasks simultaneously
  • Experience with data extraction using SQL; ad-hoc reporting; manipulation of raw data; creation and updating of pivot tables and metrics presentations
  • Strong interpersonal skills and ability to influence and effectively communicate technical information to internal and external customers who are both technical and non-technical
  • Ability to identify and resolve issues independently in a rapidly changing environment; taking initiative in ambiguous circumstances
  • Robust sense of accountability and sound personal judgment with the capacity to handle confidential information and escalate issues effectively
  • Proactive and forward-thinking attitude and creative problem-solving ability