Sr Business Intelligence Engineer Amazon Music - DISCO

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, Consumer Product and Tech (DISCO CPT) team is looking for an Analytics Lead 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 product for personalized experiences. DISCO CPT team focuses on accelerating Amazon Music customer growth by empowering Product teams to make sound, customer-centric decisions through data and insights. We build data pipelines, self-service analytics, insights and dashboards, deliver engagement and retention at scale. In this role, you will lead the analytics and insights efforts for one of the Amazon Music product teams. You will set the analytics roadmap and direction for the domain 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 effectively lead analytics solutions, prioritize across multiple stakeholders and projects and be ready to jump into a fast-paced, dynamic and fun environment.

Key job responsibilities

• Working with 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 .
• Join large and growing BI/ Science team to leverage extensive music listening 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 customer 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 strong 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.
  
  

Basic Qualifications

• 10+ years of professional or military experience
• 5+ years of SQL experience
• Experience programming to extract, transform and clean large (multi-TB) data sets
• Experience with theory and practice of design of experiments and statistical analysis of results
• Experience with AWS technologies
• Experience in scripting for automation (e.g. Python) and advanced SQL skills.
  
  

Preferred Qualifications

• Experience working directly with business stakeholders to translate between data and business needs
• Experience managing, analyzing and communicating results to senior leadership
  
  

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.


Company - ADCI - Karnataka

Job ID: A2975722

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