Business Intelligence Engineer, Ad Sales Finance Analytics

Global technology and e-commerce company that leads in online retail, cloud computing, and artificial intelligence.
$89,600 - $185,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · Finance

Description For Business Intelligence Engineer, Ad Sales Finance Analytics

Amazon is seeking a Business Intelligence Engineer to join their Ad Sales Finance Analytics team, focusing on Amazon Advertising Finance business. This role combines technical expertise with business acumen, requiring the ability to work with large-scale data sets to deliver actionable insights. The position involves designing and maintaining metrics, reports, and dashboards that drive key business decisions while working closely with stakeholders across the organization.

The role demands a self-starter mentality and comfort with ambiguity, as you'll be responsible for conceptualizing and leading complex initiatives from end to end. You'll work at the intersection of advertising, finance, and technology, using advanced data analysis tools and AWS services to extract valuable insights from complex datasets.

As a BI Engineer, you'll be instrumental in shaping the direction of Amazon's advertising products through data-driven decision making. You'll need strong technical skills in SQL, Python, and data visualization tools, combined with the ability to communicate effectively with senior management. The position offers competitive compensation ranging from $89,600 to $185,000 based on location and experience, plus Amazon's comprehensive benefits package.

This is an excellent opportunity for someone who wants to make a significant impact at the world's leading e-commerce company, working with cutting-edge technology and massive datasets while solving complex business challenges in the advertising space. The role offers exposure to multiple aspects of Amazon's business and the chance to influence strategic decisions through data analysis and insights.

Last updated 4 minutes ago

Responsibilities For Business Intelligence Engineer, Ad Sales Finance Analytics

  • Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards
  • Make recommendations for new metrics, techniques, and strategies
  • Define data elements and data structure for analytical and reporting capabilities
  • Design and influence operational best practices for reporting and analytics
  • Prepare and deliver business reviews to senior management
  • Work with engineering and data warehouse teams
  • Enable effective decision making by retrieving and aggregating data
  • Participate in strategic & tactical planning discussions

Requirements For Business Intelligence Engineer, Ad Sales Finance Analytics

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 writing complex SQL queries
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python)
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

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