Sr. Business Intelligence Engineer, Managed Spend Response

A $35 billion-dollar global business at the intersection of tech and retail in the B2B space.
$117,300 - $202,800
Data
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
Enterprise SaaS · E-Commerce

Description For Sr. Business Intelligence Engineer, Managed Spend Response

Amazon Business is a rapidly expanding $35 billion-dollar global enterprise that stands at the intersection of technology and B2B retail. As part of the Business Flywheel Inputs Analytics team, you'll play a crucial role in deal response analytics, working on innovative purchasing and procurement solutions. The position offers an opportunity to work with large-scale data sets and contribute to key business decisions including price setting, selection additions, and operations optimization.

You'll collaborate with a diverse team of Product Managers, Data Engineers, Scientists, Economists, and Software Development Engineers to solve challenging problems. The role requires strong analytical skills, leadership capabilities, and expertise in ETL pipeline development and management. You'll be responsible for creating scalable solutions, managing metrics, and driving improvements through data-driven insights.

This is an excellent opportunity for someone who wants to make a significant impact in a fast-growing business sector. You'll have the chance to think big and turn vision into reality while working with cutting-edge technology and data science tools. The role offers competitive compensation ranging from $117,300 to $202,800 based on location, plus additional benefits including equity and comprehensive medical coverage.

The ideal candidate will combine technical expertise with business acumen, possessing the ability to translate complex data insights into actionable business strategies. You'll be part of a team that values innovation, deep analytical thinking, and the ability to drive results. If you're passionate about using data to solve complex business problems and want to be part of shaping the future of B2B commerce, this role offers the perfect platform to make your mark.

Last updated 19 hours ago

Responsibilities For Sr. Business Intelligence Engineer, Managed Spend Response

  • Work closely with BIEs, DEs, and Scientists in the team and collaborate with product managers
  • Create program goals and related metrics, track progress, and manage through obstacles
  • Identify opportunities for improvement or automation in existing data processes
  • Use best practices on data integrity, design, test, implementation, documentation
  • Mentor and guide junior members in the team
  • Contribute to supplier operations strategy development based on data analysis
  • Lead strategic projects to formalize and scale organizational processes
  • Build and manage weekly, monthly and quarterly business review metrics
  • Build data reports and dashboards

Requirements For Sr. Business Intelligence Engineer, Managed Spend Response

Python
  • 5+ years of SQL experience
  • Experience programming to extract, transform and clean large (multi-TB) data sets
  • Master's degree in statistics, data science, or an equivalent quantitative field
  • Experience building measures and metrics, and developing reporting solutions
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience working directly with business stakeholders to translate between data and business needs

Benefits For Sr. Business Intelligence Engineer, Managed Spend Response

Medical Insurance
401k
Equity
  • Medical benefits
  • Financial benefits
  • Equity compensation
  • Sign-on payments

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