Business Intelligence Engineer, WHS Data

Amazon is a global technology company focused on e-commerce, cloud computing, digital streaming, and artificial intelligence.
$89,600 - $185,000
Data
Mid-Level Software Engineer
Hybrid
5,000+ Employees
3+ years of experience
Enterprise SaaS
This job posting may no longer be active. You may be interested in these related jobs instead:
Data Engineer, Customer Engagement Technology

Data Engineer position at Amazon working on customer engagement technology using ML, NLP, and data analytics.

Data Engineer, Amazon Customer Service

Data Engineer role at Amazon Customer Service focusing on building data pipelines for customer experience metrics and machine learning applications.

Business Intelligence Engineer, BizOps LATAM

Business Intelligence Engineer role at Amazon LATAM focusing on data analysis, visualization, and business insights for retail operations.

Business Intelligence Engineer, ORC (ORC- Operations Risk Compliance) Program Analytics

Business Intelligence Engineer role at Amazon focusing on ORC Analytics, combining statistical analysis, data engineering, and business intelligence expertise in London.

Business Intelligence Engineer, AWS Identity

AWS Identity team seeks Business Intelligence Engineer to build data-driven solutions and analytics for cloud infrastructure, offering competitive pay and flexible work environment.

Description For Business Intelligence Engineer, WHS Data

At Amazon, the Leadership Principle "Strive to be Earth's Best Employer" challenges us to create "a safer, more productive, higher performing, more diverse, and more just work environment," and reinforces that nothing is more important than the safety and well-being of our teams. The Workplace Health and Safety (WHS) Data team is hiring a Business Intelligence Engineer (BIE) to support the data and reporting needs for the Safety Performance Insights (SPI) BI team.

Key responsibilities include:

  • Contribute to the design, implementation, and delivery of BI solutions for complex problems
  • Conduct deep dive analyses and formulate recommendations to leadership
  • Identify opportunities 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 and access to customer insights
  • Develop best practices in data integrity, consistency, analysis, validations, and documentation

The role requires high proficiency in complex SQL scripting, joining multiple types of data sets, and communicating project roadmaps and prioritization with customer and stakeholder groups including leadership.

Amazon offers a comprehensive benefits package, including:

  1. Medical, Dental, and Vision Coverage
  2. Maternity and Parental Leave Options
  3. Paid Time Off (PTO)
  4. 401(k) Plan

The base pay for this position ranges from $89,600/year to $185,000/year, depending on the geographic market and other factors. Amazon also offers equity, sign-on payments, and other forms of compensation as part of a total compensation package.

Last updated 2 months ago

Responsibilities For Business Intelligence Engineer, WHS Data

  • Design, implement, and deliver BI solutions for complex problems
  • Conduct deep dive analyses and formulate recommendations to leadership
  • Identify opportunities 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 best practices in data integrity, consistency, analysis, validations, and documentation

Requirements For Business Intelligence Engineer, WHS Data

  • Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with data visualization using Tableau, Quicksight, or similar tools

Benefits For Business Intelligence Engineer, WHS Data

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

Interested in this job?