Business Intel Engineer II, SCOT - Automated Inventory Management

Amazon

Bellevue, WA, US
Not specified; not specified; benefits include med...
On-site
Strong quantitative data mining skills
Experience building audit analytical products
Ability to work on ambiguous problems
Amazon is seeking a Business Intelligence Engineer II for its Supply Chain Optimization Technologies (SCOT) team, focusing on developing analytical models and tools to enhance automated inventory management systems. The role requires strong quantitative skills, effective communication, and collaboration with cross-functional teams to drive business improvements

Job Summary

  • The role involves developing analytical models and tools to automate the auditing of Amazon's global inventory management systems for millions of items.
  • Candidates will build audits to identify trend breaks or defects at scale across multiple marketplaces and create solutions to automate business processes.
  • Amazon offers a full range of benefits including medical, dental, vision coverage, parental leave options, paid time off, and a 401(k) plan.

Matching Summary

Match Score: 85

Amazon is seeking a Business Intelligence Engineer II for its Supply Chain Optimization Technologies (SCOT) team, focusing on developing analytical models and tools to enhance automated inventory management systems. The role requires strong quantitative skills, effective communication, and collaboration with cross-functional teams to drive business improvements.

Salary

Not specified; Not specified; Benefits include Medical, Dental, Vision, PTO, 401(k)

Skills & Requirements

Must-have

  • Strong quantitative data mining skills
  • Experience building audit analytical products
  • Ability to work on ambiguous problems
  • Proficiency in data warehousing and architecture
  • Skill in creating performant self-service toolsets

Nice-to-have

  • Leadership and communication skills
  • Mentoring and continuous improvement culture
  • Collaboration with software development teams
  • Presenting findings to senior audiences

Key Requirements

  • Strong quantitative data mining and modeling skills
  • Experience with data warehousing and data architecture
  • Ability to drive business improvements through data insights

Work Rights

Not specified

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