Business Intelligence Engineer, DSP Analytics

Global technology and e-commerce company focused on customer-centric innovation and delivery services.
$89,600 - $185,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · Logistics
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Description For Business Intelligence Engineer, DSP Analytics

Amazon's DSP Analytics team is seeking a Business Intelligence Engineer to enhance their Delivery Service Partner (DSP) program through data-driven solutions. This role is crucial in Amazon's mission to provide best-in-class delivery experiences through pioneering innovations in last-mile delivery.

The position offers an opportunity to work with cutting-edge technologies and cloud solutions while developing analytics products that directly impact Amazon's delivery operations. You'll be part of the core Amazon DSP BI team, working alongside talented professionals who are passionate about enabling data-driven decision-making.

As a Business Intelligence Engineer, you'll collaborate with engineering teams, product managers, and organizational leaders to deliver end-to-end data solutions. The role involves designing and implementing BI solutions, managing complex data projects, and developing automated reporting systems that drive business decisions.

The compensation package is competitive, ranging from $89,600 to $185,000 based on location, plus additional benefits including equity, sign-on payments, and comprehensive medical coverage. This is an excellent opportunity for data professionals who want to make a significant impact on Amazon's global delivery operations while working with large-scale, complex datasets and modern analytics tools.

The role requires strong technical skills in SQL, Python, and data visualization tools, combined with excellent business acumen and communication abilities. You'll be part of a relatively new team without legacy operational burden, allowing for innovation and fresh approaches to problem-solving. The position offers significant growth potential and the chance to work on challenging problems at scale.

Last updated 3 months ago

Responsibilities For Business Intelligence Engineer, DSP Analytics

  • Lead the design, implementation, and delivery of BI solutions for LATAM DSP Performance solutions and Network Health
  • Manage and execute entire projects from start to finish including stakeholder management
  • Extract, transform, and load data from many data sources using SQL, Scripting and other ETL tools
  • Design, build, and maintain automated reporting, dashboards, and ongoing analysis
  • Report key insight trends using statistical rigor
  • Work with AWS technologies including Redshift, S3, and internal platforms
  • Work closely with business stakeholders and senior leadership team

Requirements For Business Intelligence Engineer, DSP Analytics

Python
PostgreSQL
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience writing complex SQL queries
  • Experience using SQL to pull data from a database or data warehouse
  • Python scripting experience
  • Experience in Statistical Analysis packages such as R, SAS and Matlab

Benefits For Business Intelligence Engineer, DSP Analytics

Medical Insurance
401k
Equity
  • Medical benefits
  • Financial benefits
  • Comprehensive benefits package
  • Sign-on payments
  • Equity compensation

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