Data Insights Specialist for Amazon's Publishing Revolution

2 weeks ago


Bengaluru, Karnataka, India myGwork Full time

Amazon, an inclusive employer and a member of the LGBTQ+ business community, is embarking on a publishing revolution. As a Business Intelligence Engineer, you will play a critical role in synthesizing data into actionable insights that help democratize content creation, detect fraudulent behavior, and optimize processes for our Print On Demand (POD) business.

We are seeking an experienced, self-driven professional to join our Minerva team, a cross-functional group of scientists, data engineers, and software engineers working on advanced analytics and machine learning projects. Our mission is to deliver innovative solutions that transform the book industry and provide an exceptional experience for authors and readers.

About the Role

You will work with massive-scale data, providing analytic support to scientists, product managers, and engineers. Your expertise in business analysis, metrics, reporting, and tooling/languages like SQL, Excel, and others will be essential in translating data into meaningful insights. You will have ownership of the insights you build for the business and play an integral role in tactical decision-making for critical risk areas.

Key Responsibilities

  • Analyze and interpret large datasets using Redshift, Oracle, NoSQL, and other tools
  • Design and implement data visualizations using Tableau, Quicksight, or similar tools
  • Collaborate with cross-functional teams to develop science-based systems for marketing, content discovery, and fraud/abuse detection
  • Develop and maintain statistical models using scripting languages like Python, Java, or R

Requirements

  • 2+ years of experience in analyzing and interpreting data with various tools and technologies
  • Master's degree or Advanced technical degree in a related field
  • Experience with data modeling, data pipeline design, and statistical analysis

Salary Estimate: $120,000 - $180,000 per annum, depending on location and experience.



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