Business Intelligence Engineer, Grocery Data Tech Analytics

World's most customer-centric company working on innovative retail and technology solutions.
$89,600 - $185,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · E-Commerce

Description For Business Intelligence Engineer, Grocery Data Tech Analytics

Amazon 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 at one of the world's most innovative companies, with a salary range of $89,600 to $185,000 depending on location and experience.

The ideal candidate will have at least 3 years of experience in data analysis and will be responsible for developing innovative analyses that shape product strategy and design. You'll work with large-scale datasets, utilizing tools like SQL, Python, and various statistical analysis packages to create scalable solutions for complex business problems.

This role is perfect for someone who thrives in a fast-paced, entrepreneurial environment and has a passion for data analytics. You'll collaborate with cross-functional teams across Amazon's grocery business line, providing crucial insights that drive business decisions. The position offers comprehensive benefits including medical coverage, equity compensation, and sign-on bonuses.

Working at Amazon means being part of a company that's constantly pushing boundaries in retail and technology. You'll have the opportunity to make a significant impact on how Amazon approaches grocery management through data-driven insights and innovative solutions. The role combines technical expertise with business strategy, making it ideal for someone who wants to be at the intersection of technology and retail innovation.

Last updated an hour 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 for business problems

Requirements For Business Intelligence Engineer, Grocery Data Tech Analytics

Python
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience in Statistical Analysis packages such as R, SAS and Matlab
  • Experience using SQL to pull data from a database or data warehouse
  • Python scripting experience for data processing and modeling

Benefits For Business Intelligence Engineer, Grocery Data Tech Analytics

Medical Insurance
Equity
  • Medical benefits
  • Financial benefits
  • Equity compensation
  • Sign-on payments
  • Comprehensive benefits package

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