Business Intelligence Engineer, DSP Analytics

Global technology and e-commerce company focused on customer-centric innovation and delivery services.
$74,100 - $165,600
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
2+ years of experience
Enterprise SaaS · Logistics

Description For Business Intelligence Engineer, DSP Analytics

Amazon's DSP Analytics Team is seeking a Business Intelligence Engineer to make an impact on the Amazon's Delivery Service Partner (DSP) program. This role focuses on improving delivery experiences through data-driven insights and solutions. You'll work in a fast-paced environment, collaborating with engineering teams, product managers, and organization leaders to deliver comprehensive data solutions that enhance DSP performance and delivery quality.

The position offers an opportunity to work with Amazon's sophisticated data technologies, including Redshift and AWS S3, while building automated reporting systems and data pipelines. You'll be part of a centralized analytics team dedicated to supporting both internal and external DSP stakeholders with data-driven decision making.

The role combines technical expertise in data analysis, visualization, and pipeline development with business acumen to drive meaningful insights. You'll have the chance to work with cutting-edge technologies while solving complex business challenges in the last-mile delivery space. The team culture emphasizes innovation, continuous learning, and collaboration, making it an ideal environment for professionals who want to make a significant impact on Amazon's delivery operations.

This position offers competitive compensation ranging from $74,100 to $165,600 based on location and experience, plus additional benefits including equity, sign-on payments, and comprehensive medical benefits. Join a team that's passionate about using data to revolutionize the future of delivery services.

Last updated a day ago

Responsibilities For Business Intelligence Engineer, DSP Analytics

  • Work with cross-functional teams to build decision-driven analytics solutions
  • Deliver end-to-end data solutions for DSP performance and delivery quality
  • Build high quality data architecture and ETL data pipelines
  • Design, build, and maintain automated reporting and dashboards
  • Report key insight trends using statistical rigor
  • Work with data engineering teams to enable appropriate data capture and storage
  • Manage and execute analytics solutions end-to-end
  • Build self-serve data and reporting solutions

Requirements For Business Intelligence Engineer, DSP Analytics

Python
  • 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with industry analytics visualization tools and statistical methods
  • Experience with scripting language (Python, Java, or R)
  • Knowledge of data modeling and data pipeline design
  • Experience with statistical analysis, co-relation analysis

Benefits For Business Intelligence Engineer, DSP Analytics

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

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