Sr. Business Intelligence Engineer, Managed Spend Response

A $35 billion-dollar global business focused on B2B e-commerce solutions
$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

Join Amazon Business, a rapidly expanding $35 billion-dollar global enterprise at the intersection of tech and retail in the B2B space. As a Sr. Business Intelligence Engineer on the Amazon Business Flywheel Inputs Analytics team, you'll be instrumental in deal response analytics. This role offers an exciting opportunity to shape the future of B2B commerce, working with large-scale data to drive critical business decisions.

You'll be part of a dynamic team that owns data-driven decision making for key Amazon Business initiatives, including price setting, selection additions, and operations optimization. The position requires expertise in SQL, data analysis, and visualization tools, combining technical prowess with business acumen to deliver impactful solutions.

Working closely with Product Managers, Data Engineers, Scientists, and Software Engineers, you'll build analytics frameworks and supporting structures to analyze and innovate product strategies. The role demands strong leadership skills, proven ability to develop ETL pipelines, and excellence in translating complex data insights into actionable business recommendations.

This is an ideal opportunity for a data professional who thrives in a fast-paced environment, enjoys mentoring others, and wants to make a significant impact in a rapidly growing business sector. You'll have the chance to work with multi-TB datasets, develop innovative solutions to complex business problems, and present findings to cross-functional partners.

The position offers competitive compensation ranging from $117,300 to $202,800 per year, based on location and experience, plus comprehensive benefits. Join us in Seattle, WA, and be part of a team that's revolutionizing B2B commerce through data-driven innovation.

Last updated a month 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
  • Medical Benefits
  • Financial Benefits

Interested in this job?

Jobs Related To Amazon Sr. Business Intelligence Engineer, Managed Spend Response

Sr Process Capacity Engineer, AMZL WW Process Engineering

Senior Process Capacity Engineer role at Amazon focusing on mechanical capacity management, data analysis, and operational optimization for worldwide delivery network.

Senior Business Intelligence Engineer, Rufus

Senior Business Intelligence Engineer role at Amazon working on Rufus analytics team, focusing on customer engagement measurement and automated analytics systems.

Senior Data Scientist, AWS Support

Senior Data Scientist role at AWS focusing on product analytics, machine learning, and data-driven decision making for AWS Support services.

Sr Business Intel Engineer, PXT Finance - ML Forecasting and Core Engineering

Senior Business Intelligence Engineer role at Amazon focusing on ML forecasting and financial analytics

Business Intelligence Engineer, ROW SHARP Research

Senior Business Intelligence Engineer role at Amazon India, focusing on supply chain analytics and research, requiring 5+ years of data analysis experience.