Business Intelligence Engineer II, Amazon

Key Skills

Amazon Elastic Compute Cloud-EC2, Amazon RedShift, Amazon Simple Storage Service (S3), Business Intelligence, Data Mining, Data Modeling, Data Visualization, Data Warehousing, Database, DynamoDB, ETL frameworks, MATLAB Programming, NoSQL, Oracle, Python Programming, QuickSight, R Programming, SAS, SQL, Statistics, Tableau

Job Description

DESCRIPTION

Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale.

The Data, Insights, Science and Optimization (DISCO) team is looking for an full-stack Analytics Lead who will be at the forefront of building our understanding of how users engage with music and content across the industry and our platform. You will be responsible for translating data insights into actionable results that drive action and meaningful outcomes.

Key job responsibilities

You will work closely with the marketing, merchandising, product, and development teams to solve unique problems and find answers to questions that require tenacious problem solving and creativity.

What You'll Do:
- Work directly with the Ubiquity team to unlock insights on our cross-device platform experiences.
- Collaborate with product management and engineering to identify and scope the analysis of most common customer behavioral questions.
- Proactively develop new metrics and conduct studies to quantify and understand customer behavior across devices/experiences.
- Define and develop experiments to identify the most effective approaches for reaching, converting, and retaining customers.
- Partner with our Data Engineering team to enhance data infrastructure, data availability, and broad access to customer insights
- Report customer, product, and marketing insights and trends to senior leadership and the broader domain teams
- Join a large and growing BI/Science team to leverage extensive music listening data, gaining a better understanding of customers, and contributing to product and marketing strategy.
- Quickly build a thorough understanding of the Digital Music industry, including its seasonality and global business trends, and continually monitor the impact of important industry developments.

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA, USA

BASIC QUALIFICATIONS

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- 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.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $79,600/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. Applicants should apply via our internal or external career site.