Business Intelligence Engineer, Data: Science & Engineering

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform, pioneering cloud computing and continuously innovating.
Austin, TX, USA · Seattle, WA, USA · New York, NY, USA
$74,100 - $165,600
Data
Mid-Level Software Engineer
Hybrid
5,000+ Employees
2+ years of experience
AI · Enterprise SaaS · Cloud

Description For Business Intelligence Engineer, Data: Science & Engineering

As a Business Intelligence Engineer on this team, you will work with senior marketing leadership to understand their business requirements and deliver solutions and actionable insights. You'll be part of a team that values great design and redefining best practices with a cloud-based approach to scalability and automation.

Key responsibilities include:

  • Uncovering trends and correlations to develop insights that can materially improve marketing performance
  • Collaborating across the organization to develop best practices and advocate for improvements in enterprise-wide tools
  • Owning the design, development, and maintenance of performance metrics, reports, analyses, and dashboards to drive key business decisions
  • Recognizing and adopting best practices in reporting and analysis

The role offers opportunities for diverse experiences, work-life harmony, an inclusive team culture, and career growth through mentorship and knowledge-sharing. AWS values curiosity and continuous learning, fostering a culture of inclusion through employee-led affinity groups and events like Conversations on Race and Ethnicity (CORE) and AmazeCon.

This position is part of the AWS Data Science team, focusing on driving revenue, adoption, and growth for AWS services across various customer segments. The successful candidate will enjoy diving deep into data analysis, discovering root causes, and implementing long-term solutions.

Last updated 16 days ago

Responsibilities For Business Intelligence Engineer, Data: Science & Engineering

  • Uncover trends and correlations to develop insights that can materially improve marketing performance
  • Collaborate and partner across the organization to develop best practices for your function and advocate for improvements in enterprise-wide tools
  • Own the design, development, and maintenance of ongoing performance metrics, reports, analyses, dashboards, etc. to drive key business decisions
  • Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation

Requirements For Business Intelligence Engineer, Data: Science & Engineering

Python
Java
  • 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
  • Experience with scripting language (e.g., Python, Java, or R)

Benefits For Business Intelligence Engineer, Data: Science & Engineering

Medical Insurance
Dental Insurance
Vision Insurance
  • Flexible work hours
  • Employee-led affinity groups
  • Mentorship opportunities
  • Career growth resources
  • Inclusive team culture

Interested in this job?

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