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We are seeking a highly skilled Business Intelligence Engineer to join our Data, Insights, Science and Optimization, Marketing & Growth (DISCO M&G) team at Amazon Music. As a key member of our team, you will be responsible for leading analytics and insights efforts for a specific Amazon Music program, working closely with stakeholders and partners to deliver self-service solutions, insights, and models to advance our analytics and science offerings.
Key Responsibilities- Lead analytics and insights efforts for a specific Amazon Music program, driving business growth and customer engagement through data-driven decision making.
- Collaborate with marketing teams and stakeholders to develop long-term strategy and deliver reporting and visualization that supports analytical needs.
- Design and implement self-service solutions for senior business stakeholders, informing marketing investment decisions and driving business effectiveness.
- Build a thorough understanding of the streaming music industry, the subscription business model, and key internal partners across Prime, Amazon devices, media, and entertainment businesses.
- Partner with analytics and science teams across Amazon entertainment and subscription businesses to drive innovation and growth.
- Educate and evangelize across internal teams on analytics, insights, and measurement by writing whitepapers and knowledge documentation and delivering learning sessions.
The DISCO M&G team is a dynamic and fast-paced environment that focuses on accelerating Amazon Music customer growth by empowering Marketing & Growth teams to make sound, customer-centric decisions through data and insights. We build data pipelines, self-service analytics, insights, and predictive models enabling acquisition, engagement, and retention at scale with personalized customer touchpoints.
We are looking for a highly skilled Business Intelligence Engineer with experience in analyzing and interpreting data, data visualization, data modeling, warehousing, and building ETL pipelines. If you have a passion for data-driven decision making and a desire to work in a fast-paced, dynamic environment, we encourage you to apply for this exciting opportunity.
