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Business Intelligence Engineer, Grocery Data Tech Analytics

World's most customer-centric company working on e-commerce and technology solutions
$74,100 - $165,600
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
2+ years of experience
E-Commerce · Enterprise SaaS
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Description For Business Intelligence Engineer, Grocery Data Tech Analytics

Amazon, the world's leading e-commerce company, is seeking a Business Intelligence Engineer to join their Grocery Data Tech Analytics team. This role combines creative thinking with data-driven decision making, focusing on building models and algorithms for procurement, selection, marketing, and pricing tools in grocery management. The position offers an exciting opportunity to work with cutting-edge technology while directly impacting Amazon's grocery business strategy.

The role requires expertise in data analysis, statistical methods, and business intelligence solutions. You'll work closely with cross-functional teams to drive decision-making through data insights and analytics. The position offers competitive compensation ranging from $74,100 to $165,600 based on location and experience, plus comprehensive benefits including medical coverage and equity.

As a Business Intelligence Engineer, you'll be responsible for developing innovative analyses, uncovering trends, and creating scalable solutions using machine learning and data mining techniques. The ideal candidate should have at least 2 years of experience with data analysis tools, statistical methods, and programming languages like Python or Java.

This is an excellent opportunity for someone who thrives in a fast-paced environment, enjoys solving complex problems, and wants to make a significant impact on Amazon's grocery business. The role offers exposure to senior leadership and the chance to influence strategic decisions through data-driven insights.

Working at Amazon means joining a company that values innovation, customer obsession, and long-term thinking. You'll be part of a team that's shaping the future of grocery retail through technology and data analytics. The position provides opportunities for professional growth, learning from industry experts, and contributing to solutions that affect millions of customers worldwide.

Last updated 7 months ago

Responsibilities For Business Intelligence Engineer, Grocery Data Tech Analytics

  • Develop new and innovative analyses to inform product strategy and design
  • Analyze business information and uncover trends to develop insights for product and strategy decisions
  • Develop clear communications for recommended actions
  • Establish new, scalable, efficient, automated processes for tracking and reporting
  • Use machine learning, data mining and statistical techniques to create scalable solutions

Requirements For Business Intelligence Engineer, Grocery Data Tech Analytics

Python
Java
  • 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with statistical methods (e.g. t-test, Chi-squared)
  • Experience with scripting language (e.g., Python, Java, or R)

Benefits For Business Intelligence Engineer, Grocery Data Tech Analytics

Medical Insurance
Equity
  • Medical benefits
  • Financial benefits
  • Total compensation package including equity
  • Sign-on payments

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