Business Intelligence Engineer, WHS Data

Global technology company focused on e-commerce, cloud computing, digital streaming, and artificial intelligence.
$89,600 - $185,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
4+ years of experience
Enterprise SaaS

Description For Business Intelligence Engineer, WHS Data

Amazon's Workplace Health and Safety (WHS) team is seeking a Business Intelligence Engineer to join their Data team. This role is crucial in providing reporting solutions that drive workplace safety and regulatory compliance worldwide. The position involves working closely with senior leaders and principal PMs to generate insights and perform deep dives into core metrics that impact organizational strategic decisions. The ideal candidate will have strong SQL skills and experience working with complex data sets from various sources. The role requires high ownership and autonomous work to create quality products for customers. The position offers competitive compensation ranging from $89,600 to $185,000 based on location and experience, plus comprehensive benefits. The role combines technical expertise with business acumen, offering the opportunity to make a direct impact on Amazon's commitment to being Earth's Best Employer through data-driven safety initiatives. The position requires strong analytical skills, experience with BI tools, and the ability to communicate effectively with stakeholders at all levels. This is an excellent opportunity for a data professional looking to impact workplace safety at a global scale while working with cutting-edge technology and data solutions.

Last updated 3 hours ago

Responsibilities For Business Intelligence Engineer, WHS Data

  • Contribute to the design, implementation, and delivery of BI solutions for complex problems
  • Conduct deep dive analyses of business problem statements
  • Identify opportunities and key criteria to drive analytical reporting and business strategy
  • Produce written recommendations and insights for key stakeholders
  • Simplify and automate reporting, audits, and other data-driven activities
  • Partner with Data Engineering to enhance data infrastructure
  • Develop and drive best practices in data integrity, consistency, analysis, validations, and documentation

Requirements For Business Intelligence Engineer, WHS Data

Python
  • 4+ 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 and scripting experience (Python)
  • Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

Benefits For Business Intelligence Engineer, WHS Data

Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave
401k
  • Medical, Dental, and Vision Coverage
  • Maternity and Parental Leave Options
  • Paid Time Off (PTO)
  • 401(k) Plan

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