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Sr. Business Intelligence Engineer - Alexa Smart Home

Sr. Business Intelligence Engineer - Alexa Smart Home

Job ID 
523447
Location 
US-WA-Bellevue
Posted Date 
9/12/2017
Company 
Amazon Corporate LLC
Position Category 
Business Intelligence
Recruiting Team 
..

Job Description

Alexa is the name of the Amazon cloud service that powers Echo, the groundbreaking new Amazon device designed around your voice. This is an opportunity to join a growing team that is working to build an exciting new Amazon business in voice.

We are looking for candidates who want to help shape the future of human-computer interactions. Specifically, we are looking for an outstanding Sr. Business Intelligence Engineer who is looking to work in a new space to help define how we use multi-modal data (voice, mobile, desktop) to understand customer behavior and satisfaction. In this role, you will develop and support the analytic technologies that give our teams flexible and structured access to their data, including implementation of a BI platform, defining metrics and KPIs, and automating reporting and data visualization.

The successful candidate will be an expert with SQL, ETL (and general data wrangling) and have exemplary communication skills. The candidate will need to be a self-starter, comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail.

Responsibilities

You know and love working with business intelligence tools, can model multidimensional datasets, and can partner with customers to answer key business questions. You will also have the opportunity to display your skills in the following areas:

· Design, implement, and support a platform providing ad hoc access to large datasets
· Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL
· Model data and metadata for ad hoc and pre-built reporting
· Interface with business customers, gathering requirements and delivering complete reporting solutions
· Own the design, development, and maintenance of ongoing metrics, reports, analyses, 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
· Participate in strategic & tactical planning discussions, including annual budget processes

Basic Qualifications

  • Bachelor’s degree in Computer Science, Mathematics, Statistics, Finance, related technical field, or equivalent work experience.
  • 3-5 years of years of relevant work experience in analytics, data engineering, business intelligence, market research or related field, and professional experience (experience in consumer-facing industry preferred)
  • Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports
  • Experience using SQL, ETL and databases in a business environment with large-scale, complex datasets


Preferred Qualifications

  • Graduate degree in computer science, business, mathematics, statistics, economics, or other quantitative field
  • Both technically deep and business savvy enough to interface with all levels and disciplines within the organization
  • Demonstrated ability to coordinate projects across functional teams, including engineering, IT, product management, marketing, finance, and operations
  • Knowledge of Advanced SQL and a programming language
  • Experience with data visualization using Tableau or similar tools
  • Experience with statistical analysis using R/SAS/Matlab or similar tools
  • Proven track record of successful communication of analytical outcomes through written communication, including an ability to effectively communicate with both business and technical teams


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