Business Intelligence Engineer

World's most comprehensive and broadly adopted cloud platform, pioneering cloud computing and continuous innovation.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · Cloud

Description For Business Intelligence Engineer

AWS Sales, Marketing, and Global Services (SMGS) is seeking a passionate Business Intelligence Engineer to join their AWS Support organization. This role is crucial in driving data-informed decisions for a business unit that generates significant revenue within AWS. The position combines technical expertise with business acumen, requiring the ability to translate complex operational data into actionable insights.

As a BI Engineer, you'll be instrumental in developing and implementing key performance indicators (KPIs) that guide senior leadership decisions. The role involves working with large-scale datasets, creating sophisticated dashboards, and building data pipelines that support AWS Support's operations. You'll be tackling questions about support quality, customer satisfaction, and agent productivity, while using modern cloud-based data technologies.

The position offers unique opportunities to impact AWS's larger ecosystem, as support data often serves as a leading indicator for new customer demands and emerging challenges. You'll have access to AWS's full suite of services and the freedom to select appropriate technologies based on customer needs.

The ideal candidate brings 3+ years of data analysis experience, proficiency in SQL and Python, and expertise with data visualization tools. You'll join a team that values work-life harmony, promotes inclusive culture, and provides extensive opportunities for mentorship and career growth.

This role at Amazon Web Services, the world's leading cloud platform, offers the chance to work with cutting-edge technology while contributing to solutions that serve millions of customers globally. You'll be part of an organization that continues to pioneer cloud computing and never stops innovating.

Last updated 20 hours ago

Responsibilities For Business Intelligence Engineer

  • Work closely with internal stakeholders to define key performance indicators (KPIs)
  • Implement KPIs into dashboards/reports for senior leadership decision-making
  • Develop intuitive and information-rich dashboards
  • Analyze support quality and customer satisfaction metrics
  • Design and optimize data pipelines
  • Provide BI solutions for complex problems
  • Improve code quality and optimize BI processes

Requirements For Business Intelligence Engineer

Python
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. 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) to process data for modeling

Benefits For Business Intelligence Engineer

Medical Insurance
Dental Insurance
Vision Insurance
  • Work-life harmony
  • Flexible working culture
  • Mentorship opportunities
  • Career development resources
  • Employee-led affinity groups
  • Inclusive team culture

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