Business Intel Engineer, Grocery Data Tech Analytics

Amazon is working to be the most customer-centric company on earth.
$89,600 - $185,000
Data
Mid-Level Software Engineer
Hybrid
5,000+ Employees
3+ years of experience
AI · E-Commerce
This job posting may no longer be active. You may be interested in these related jobs instead:
Data Engineer II, Shopbop

Data Engineer position at Shopbop (Amazon) building and optimizing data pipelines using AWS technologies to drive fashion e-commerce innovation.

Business Intelligence Engineer

Business Intelligence Engineer role at Amazon Security, focusing on data analysis, visualization, and security risk assessment with competitive compensation range of $89,600-$185,000.

Business Intelligence Engineer, Advertising Finance, Amazon Advertising

Business Intelligence Engineer role at Amazon Advertising, focusing on data infrastructure and analytics for worldwide Small and Medium Business Display Advertising.

Data Architect & Analytics, AWS Professional Services

AWS Professional Services seeks Data Architect to design and implement cloud solutions, requiring 3+ years in Hadoop/Spark implementations and strong AWS expertise.

Data Engineer, GTMO Product Tech

Data Engineer position at Amazon Business, building large-scale data integration services and driving business decisions through data solutions.

Description For Business Intel Engineer, Grocery Data Tech Analytics

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. We are looking for a Business Intelligence Engineer to build models and algorithms for procurement, selection, marketing and pricing tools in grocery management.

This role is both creative and data driven – we need someone who can review our current infrastructure, isolate improvement opportunities, help us think big about what to consider in terms of localization, scalability, commodity management, and long term automation.

You will:

  • Scope and execute analyses to formulate conclusions and recommendations to be presented to senior leadership on business growth opportunities.
  • Produce insights that will help shape effective strategies to better meet our customers' needs.
  • Work closely with internal teams and partners across the grocery business line and other partner teams.
  • Develop new and innovative analyses to inform product strategy and design.
  • Analyze relevant business information, and uncover trends and correlations to develop insights that can materially improve our product and strategy decisions.
  • Develop clear communications for recommended actions.
  • Establish new, scalable, efficient, automated processes for tracking and reporting on progress of initiatives.
  • Use machine learning, data mining and statistical techniques to create new, scalable solutions for business problems.

The ideal candidate will have:

  • Excellent statistical and analytical abilities
  • Deep knowledge of business intelligence solutions
  • Ability to work with technology, product development, and business teams
  • Passion for data and analytics
  • Self-starter comfortable with ambiguity
  • Strong attention to detail
  • Ability to work in a fast-paced and entrepreneurial environment
  • Driven by a desire to innovate Amazon's approach to this space

This role offers a competitive compensation package, with base pay ranging from $89,600/year to $185,000/year depending on geographic market and other factors. Amazon also offers equity, sign-on payments, and other forms of compensation as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.

Last updated 5 months ago

Responsibilities For Business Intel Engineer, Grocery Data Tech Analytics

  • Build models and algorithms for procurement, selection, marketing and pricing tools in grocery management
  • Review current infrastructure and isolate improvement opportunities
  • Scope and execute analyses for senior leadership on business growth opportunities
  • Produce insights to shape effective strategies for customer needs
  • Develop new and innovative analyses to inform product strategy and design
  • Establish scalable, efficient, automated processes for tracking and reporting
  • Use machine learning, data mining and statistical techniques for business solutions

Requirements For Business Intel Engineer, Grocery Data Tech Analytics

Python
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. 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 and scripting experience (Python) to process data for modeling

Benefits For Business Intel Engineer, Grocery Data Tech Analytics

Medical Insurance
Equity
  • Medical Insurance
  • Financial Benefits

Interested in this job?