Business Intelligence Engineer II, DSP Analytics

Amazon is a global e-commerce and cloud computing company known for innovation in online retail, digital streaming, and artificial intelligence.
$89,600 - $185,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · E-Commerce · Logistics
This job posting may no longer be active. You may be interested in these related jobs instead:
Business Intelligence Engineer, SCOT Selection

Business Intelligence Engineer position at Amazon, focusing on data analytics and metrics development for supply chain optimization, offering competitive compensation and benefits.

Business Intelligence Engineer, On-Step Comp Engineering, Analytics 'N Science

Business Intelligence Engineer role at Amazon focusing on employee compensation analytics and workforce strategy

Business Dev Engineer I, NatSec & Defense (NSD) Builders

AWS seeks Data Engineer for NSD Builders Team to build cloud-based data pipelines and drive operational efficiency, requiring TS/SCI clearance and strong technical expertise.

Business Intelligence Engineer, Amazon Customer Service

Business Intelligence Engineer role at Amazon's CS Concessions Team, focusing on data analysis and insights to improve customer experience.

Business Intelligence Engineer, Last Mile Analytics

Business Intelligence Engineer role at Amazon focusing on last mile delivery analytics and global address management

Description For Business Intelligence Engineer II, DSP Analytics

Amazon's DSP Analytics Team is seeking a Business Intelligence Engineer (BIE) to make an impact on the Amazon's Delivery Service Partner (DSP) program. The role involves working with cross-functional teams to build decision-driven analytics solutions for critical work in Amazon's delivery operations.

Key responsibilities include:

  • Managing and executing end-to-end analytics solutions
  • Building high-quality data architecture and ETL pipelines
  • Analyzing data using Amazon's technologies (Redshift, AWS S3, etc.)
  • Designing and maintaining automated reporting and dashboards
  • Partnering with scientists to scale and expand models
  • Collaborating with data engineering and software development teams

The ideal candidate will have:

  • 3+ years of experience analyzing data with Redshift, Oracle, NoSQL, etc.
  • Experience in data modeling, warehousing, and ETL pipelines
  • Proficiency in data visualization tools like Tableau or Quicksight
  • Strong SQL and Python skills
  • Experience with statistical analysis packages (R, SAS, Matlab)

Preferred qualifications include experience with AWS solutions and working with large-scale, complex datasets in a business environment.

This role offers an opportunity to work on high-impact, large-scale data solutions and raise the bar for engineering and operational excellence in a team of talented professionals passionate about improving delivery experiences for Amazon customers.

Last updated 5 months ago

Responsibilities For Business Intelligence Engineer II, DSP Analytics

  • Earn trust of customers and stakeholders by obsessing over their business use cases and data needs
  • Manage and execute analytics solutions end-to-end
  • Build high quality data architecture and ETL data pipelines
  • Retrieve and analyze data using Amazon's data technologies
  • Design, build, and maintain automated reporting and dashboards
  • Report key insight trends using statistical rigor
  • Partner with scientists to scale and expand science models
  • Work with DE and software development teams to enable appropriate data capture and storage

Requirements For Business Intelligence Engineer II, DSP Analytics

Python
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. 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 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 II, DSP Analytics

Medical Insurance
401k
Equity
  • Medical Insurance
  • Financial Benefits
  • Other Benefits

Interested in this job?