Sr. BI Engineer, Alexa Shopping

Key Skills

Microsoft-Excel, Java Programming, Python Programming, SQL, Business Intelligence, Looker, Data Modeling, Amazon RedShift, Amazon EMR, Amazon Simple Storage Service (S3), Data Engineering, Large scale data processing, ETL frameworks, QuickSight, Terabyte scale datasets, AWS Glue, Data Warehousing

Job Description

We enable customers to instantly order whatever they need, by simply interacting with their Smart Devices such as Amazon Show, Spot, Echo or Dot. Our Services allow you to shop, no matter where you are or what you are doing, you can go from 'I want that' to 'that's on the way' in a matter of seconds. We are seeking the industry's best to help us create new ways to interact, search and shop. Join us, and you'll be taking part in changing the future of everyday life.

We are seeking the industry's best Business Intelligence Engineer (BIE), to work on translating analysis results into executive-facing business terms to improve the voice shopping experience.

The role offers an opportunity to identify strategic opportunities where data-backed insights drive value creation. Do deliver on that, you should be highly analytical, have excellent communication skills, resourceful, customer focused, team oriented, and have an ability to work independently under time constraints to meet deadlines. You will be comfortable thinking big and diving deep. A proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced, dynamic business environment is strongly preferred. Above all you should be passionate about working with large data sets and someone who loves to bring datasets together to answer business questions and drive change.

As part of this role, you will:

• Retrieve and analyze data using SQL, Excel, and other data applications.
• Define and deliver on complex analytical deep dives to unlock insights that drive business decisions.
• Own end-to-end production of metrics reporting that the organization relies on to run the business and monitor its customers' success.
• Act as a Subject Matter Expert for anything analytics related to the products domain.

BASIC QUALIFICATIONS

• Bachelor's degree or higher in a quantitative/technical field (e.g. Computer Science, Economics, Finance, Mathematics, Statistics, Engineering, Information Systems).
• 5+ years of relevant experience in business intelligence, product analytics, data engineering and/or business analytics.
• Passionate about data with proven experience in finding actionable insights in a large amount of data.
• Expert-level proficiency in writing complex, highly-optimized SQL queries across large datasets.
• Demonstrated ability in data modeling, ETL development, and Data warehousing.
• Knowledge of dashboard building using BI tools (familiarity with AWS Quicksight and Looker preferred).
• Ability to manage competing priorities simultaneously and drive projects to completion.
• Knowledge and experience in Descriptive, Predictive, and Prescriptive Analytics investigations.
• Proven ability at looking at solutions in unconventional ways.
• Excellent written and verbal communication skills.
• Comfortable working in a fast paced, highly collaborative, dynamic work environment

PREFERRED QUALIFICATIONS

• MBA or Master’s degree in Computer Science, Engineering, Statistics, Mathematics or related field.
• Experience with AWS services including S3, Redshift, EMR, and Glue.
• Expert in writing and tuning SQL scripts.
• Experience conducting large scale data analysis to support business decision making.
• Experience with statistical and/or econometric modeling.
• Coding proficiency in at least one modern programming language (Python).
• Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams.