BIE

Job Description

Job summary

Our team is focused on building a personalized, curated, and seamless music experience. We want to help our customers discover up-and-coming artists, while also having access to their favorite established musicians. We build systems that are distributed on a large scale, spanning our music apps, web player, and voice-forward audio engagement on mobile and Amazon Echo devices, powered by Alexa to support our customer base. Amazon Music offerings are available in countries around the world, and our applications support our mission of delivering music to customers in new and exciting ways that enhance their day-to-day lives.

Come innovate with the Amazon Music team!

Love data? Love music? The Amazon Music team is looking for a brilliant, creative, and passionate professional to join our Business Intelligence team. Responsibilities include: developing customer insights and segmentation to enhance and drive acquisition and engagement marketing, optimization of Amazon Music signup funnels on all devices and platforms, evaluation and optimization of marketing and content, and developing self-serve analytical tools for use by the Digital Music product and business teams.

We are open to this role being based out of San Francisco Bay Area including Sunnyvale, Seattle, Los Angeles/Culver City, and Atlanta.

Key job responsibilities
• Working with marketing, merchandising, product management and engineering to identify and scope data aggregations that facilitate analysis of most common customer behavioral questions.
• Partnering with our Data Engineering team to enhance data infrastructure, data availability, and broad access to customer insights made available through Tableau.
• Join large and growing BI/Data Science team to leverage extensive music listening data to better understand customers and contribute to product and marketing strategy.
• Defining and developing tests to identify the best way to reach, convert, and retain customers.
• Reporting to senior leadership and the team at large, on customer, product and marketing insights and trends.
• Proactively developing new metrics and studies to quantify customer behavior.
• Combining online web customer behavior and offline customer attributes to gain novel and powerful understanding of Digital Music customers.
• Quickly build a thorough understanding of the Digital Music industry, its seasonality and global business trends and continually monitor the impact of important industry developments.
• Work closely with finance team to conduct business and financial analysis, including forecasting and monitoring of key business activity.

A day in the life
In this role you will work to create and surface critical datasets to the Music org for self-service analysis and reporting in order to facilitate business and product team ability to identify marketing, product and content opportunities. You will help lead the way in defining and optimizing how we measure and value customer acquisition and engagement.
Our ideal candidate has a combination of strong technical skills, superb analytical capabilities, outstanding business insight, and excellent verbal and written communication skills. As a member of our team, you will have the opportunity to work with one of the largest and most complex data warehouses in the world to gather insights using data from across Amazon. 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.

Data-driven decision making is at the core of Amazon's culture, and your work will have a direct impact on decision making and strategy for the Amazon Music Team.

BASIC QUALIFICATIONS
• BS degree in Statistics, Computer Science, Mathematics, Finance, Econometrics, or other quantitative field
• 3+ years of professional experience in web analytics, business analysis or comparable analytics position
• Highly skilled at querying relational databases () and ability to pull data from various sources
• Experience with analytic tools such as R, SAS, SPSS, etc.
• In-depth experience with web analytics tools and analyzing online customer behavior
• Strong critical thinking skills and attention to detail.
• Strong interpersonal and communication skills. Must be able to explain technical concepts and analysis implications clearly to a wide audience, including senior executives, and be able to translate business objectives into actionable analyses
• Passionate about understanding customers and their behavior

PREFERRED QUALIFICATIONS
• Masters or PhD in Statistics, Computer Science, Mathematics, Operations Research, or other quantitative field
• Proven experience in BI/DW as a change leader providing strategic research, recommendations, and implementation in both business and technical roles
• Experience with or other relevant scripting language
• Experience with relational database design and architecture
• Music industry experience
• A passion for music!

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 Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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

We are open to this role being based out of San Francisco Bay Area including Sunnyvale, Seattle, Los Angeles/Culver City, and Atlanta.

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.

Jobcode: Reference SBJ-gm972m-3-139-97-157-42 in your application.