Amazon
BI Engineer, Amazon Music, Disco M&G, DISCO M&G
Amazon, Seattle, Washington, us, 98127
BI Engineer, Amazon Music, Disco M&G, DISCO M&G In this role, you will lead the analytics and insights efforts for an Amazon Music Program. You will help build the analytics roadmap and direction for the global roll-out and work with stakeholders and partners to deliver self-service solutions, insights, learning white papers and models to advance our analytics and science offerings. The ideal candidate must be willing to prioritize across multiple stakeholders and projects to identify the best path forward and be ready to jump into a fast-paced, dynamic and fun environment.
All potential applicants are encouraged to scroll through and read the complete job description before applying.Key job responsibilities
Lead analytics and insights efforts for a specific Amazon Music programWork as the internal lead analytics consultant for marketing teams and collaborate on long-term strategy togetherDefine and deliver reporting and visualization that supports the analytical needs of internal business leadersDrive self-service solutions for senior business stakeholders informing marketing investment decisionsUse analytical insights to help increase business and teams effectiveness against key strategic goalsBuild a thorough understanding of the streaming music industry, the subscription business model, and key internal partners across Prime, Amazon devices, media and entertainment businessesPartner with analytics and science teams across Amazon entertainment and subscription businessesEducate and evangelize across internal teams on analytics, insights and measurement by writing whitepapers and knowledge documentation and delivering learning sessionsAbout the team The Data, Insights, Science and Optimization, Marketing & Growth (DISCO M&G) team is looking for a Business Intelligence Engineer to join a team of Data Scientists, Analytics Leads, Business Intelligence Engineers and Data Engineers who analyze big data, provide analytics and insights as well as build models and algorithms that power “hands off the wheel” (HOTW) marketing for personalized experiences. DISCO M&G team 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.BASIC QUALIFICATIONS
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experienceExperience with data visualization using Tableau, Quicksight, or similar toolsExperience with data modeling, warehousing and building ETL pipelinesExperience in Statistical Analysis packages such as R, SAS and MatlabExperience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingPREFERRED QUALIFICATIONS
Experience with AWS solutions such as EC2, DynamoDB, S3, and RedshiftExperience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsPosted:
September 10, 2024 (Updated 1 day ago)Posted:
August 19, 2024 (Updated 23 days ago)Posted:
May 31, 2024 (Updated about 1 month ago)Posted:
August 1, 2024 (Updated about 1 month ago)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.
#J-18808-Ljbffr
All potential applicants are encouraged to scroll through and read the complete job description before applying.Key job responsibilities
Lead analytics and insights efforts for a specific Amazon Music programWork as the internal lead analytics consultant for marketing teams and collaborate on long-term strategy togetherDefine and deliver reporting and visualization that supports the analytical needs of internal business leadersDrive self-service solutions for senior business stakeholders informing marketing investment decisionsUse analytical insights to help increase business and teams effectiveness against key strategic goalsBuild a thorough understanding of the streaming music industry, the subscription business model, and key internal partners across Prime, Amazon devices, media and entertainment businessesPartner with analytics and science teams across Amazon entertainment and subscription businessesEducate and evangelize across internal teams on analytics, insights and measurement by writing whitepapers and knowledge documentation and delivering learning sessionsAbout the team The Data, Insights, Science and Optimization, Marketing & Growth (DISCO M&G) team is looking for a Business Intelligence Engineer to join a team of Data Scientists, Analytics Leads, Business Intelligence Engineers and Data Engineers who analyze big data, provide analytics and insights as well as build models and algorithms that power “hands off the wheel” (HOTW) marketing for personalized experiences. DISCO M&G team 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.BASIC QUALIFICATIONS
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experienceExperience with data visualization using Tableau, Quicksight, or similar toolsExperience with data modeling, warehousing and building ETL pipelinesExperience in Statistical Analysis packages such as R, SAS and MatlabExperience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingPREFERRED QUALIFICATIONS
Experience with AWS solutions such as EC2, DynamoDB, S3, and RedshiftExperience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsPosted:
September 10, 2024 (Updated 1 day ago)Posted:
August 19, 2024 (Updated 23 days ago)Posted:
May 31, 2024 (Updated about 1 month ago)Posted:
August 1, 2024 (Updated about 1 month ago)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.
#J-18808-Ljbffr