Business Intelligence Engineer, Listing Analytics

Amazon

Seattle, Northern (WA, KY)

Hybrid

USD 82,000 - 144,000

Full time

19 hours ago
Be an early applicant
Application generator

A complete application in a minute — tailored resume and cover letter, ready to send.

Get past ATS filters

Job summary

Amazon is seeking a Business Intelligence Engineer for Listing Analytics in Seattle to turn data into actionable insights about seller behavior and global listing performance.

You will collaborate with engineering to define data structures, build dashboards, and enable self-service analytics for business users across teams.

Qualifications

  • Experience with BI tools and statistical methods (e.g., t-test, Chi-squared).
  • Experience with scripting languages (Python, Java, or R).
  • 2+ years of experience analyzing data with Redshift, Oracle, NoSQL, etc.
  • Experience with data modeling and data pipeline design.
  • Experience with generative AI tools to enhance workflow efficiency and productivity.

Responsibilities

  • Engage with leadership and diverse customer groups to understand needs and propose BI solutions.
  • Partner with engineering teams to define data elements and structures for seller metrics.
  • Design, implement, and support platforms providing ad-hoc access to large datasets for self-service deep dives.
  • Interface with business customers, gather requirements and deliver complete reporting solutions.
  • Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc.
  • Participate in strategic and tactical planning discussions.
  • Standardize data and report consumption across customer groups.
  • Make recommendations for new metrics and AI-enhanced workflows.

Skills

SQL
Excel
Tableau
Power BI
Python
Data visualization
Data analysis
Statistics
NoSQL
Data storytelling

Education

Master's degree or Advanced technical degree

Tools

Redshift
Oracle
NoSQL databases
Python (pandas)
Shell scripting

Job description

Business Intelligence Engineer, Listing Analytics

ID lavoro: 10554556 | Amazon.com Services LLC

Are you looking for a role that allows you to shape the future of how sellers sell their products globally with Amazon? Do you like working in a start-up like environment with the opportunity to have a significant impact from day 1? Do you have an insatiable curiosity about why Amazon global stores operate as they do and how Amazon could optimize its global selling business? If so, then keep reading as this could be the role for you.

Over 2MM active sellers in 22 countries (and growing) list their products for sale on the Amazon stores. Sellers are a critical part of Amazon’s ecosystem to deliver on our vision of offering the earth’s largest selection and lowest prices.

As a Business Intelligence Engineer (BIE) on Listing Analytics team, you will be responsible for bringing data to the table, specifically seller anecdotes and business metrics. The ideal candidate thrives in working in large and complex data warehouse environments, has excellent verbal and written communication skills, is motivated by developing innovative and simplified solutions to solve complex analytical problems and is passionate about working with large data sets and bringing data together to answer business questions and drive change. These analyses and solutions will be fundamental to finding opportunities and creating new programs aimed at further growing on Amazon stores.

In this role you will:

  • Engage with leadership and diversified customer groups to understand the needs and recommend business intelligence solutions.
  • Partner with engineering teams to define the data elements and data structures that the team should leverage to develop critical seller experience metrics.
  • Design, implement, and support platforms that provide business teams ad-hoc access to large datasets for self service deep dives (eg: data visualization tools for non-tech business users)
  • Interface with business customers, gather requirements and deliver complete reporting solutions.
  • Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
  • Participate in strategic & tactical planning discussions
  • Standardize data and report consumption across all customer groups.
  • Make recommendations for new metrics, techniques, and strategies to improve the operational and quality metrics.
  • Be connected and influential within the Amazon BIE community. Work with data engineering, software development teams to enable the appropriate capture and storage of key data points.
  • Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
  • Experience with scripting language (e.g., Python, Java, or R)
  • 2+ years of experience analyzing and interpreting data using Redshift, Oracle, NoSQL, etc
  • Experience with data modeling and data pipeline design
  • Master's degree, or Advanced technical degree
  • Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, including the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting
  • Experience identifying opportunities to integrate AI solutions into products and services to drive business value

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

Qualifiche Preferenziali
  • Master's degree, or Advanced technical degree
  • Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, including the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting
  • Experience identifying opportunities to integrate AI solutions into products and services to drive business value

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

USA, WA, Seattle - 82,300.00 - 144,000.00 USD annually

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

BIE II - FBA Product Analytics, FBA Analytics
BIE II - FBA Product Analytics, FBA Analytics

Amazon • Factoria (WA)

On-site
USD 100,000 - 160,000
Relocation support
Competitive compensation
Comprehensive benefits includingHealth
Business Analyst, Listing Analytics
Business Analyst, Listing Analytics

Amazon • Seattle (WA)

On-site
USD 80,000 - 98,000
Business Intelligence Engineer, North America Transportation Services
Business Intelligence Engineer, North America Transportation Services

Amazon • Irving (TX)

On-site
USD 100,000 - 160,000
Health insurance
401(k) matching
Paid time off
+1
Business Intelligence Engineer - SCOT, Fulfillment Optimization, SCOT-FO
Business Intelligence Engineer - SCOT, Fulfillment Optimization, SCOT-FO

Amazon • Bellevue (WA)

On-site
USD 96,000 - 160,000
Health insurance
Paid time off
401(k) plan
+1
Business Analyst I, Global Logistics Domestic First Mile
Business Analyst I, Global Logistics Domestic First Mile

Amazon • Arlington (VA), Northern (KY)

Hybrid
USD 56,000 - 98,000
Business Intelligence Engineer, Amazon Robotics
Business Intelligence Engineer, Amazon Robotics

Amazon • Reading (MA)

On-site
USD 100,000 - 160,000
Health insurance
401(k) matching
Paid time off
+2
Business Intelligence Engineer, Global Procurement Organization
Business Intelligence Engineer, Global Procurement Organization

Amazon • Arlington (VA), Northern (KY)

On-site
USD 100,000 - 160,000
Business Intelligence Engineer, Amazon Customer Service
Business Intelligence Engineer, Amazon Customer Service

Amazon • Seattle (WA)

On-site
USD 100,000 - 160,000
Health insurance
401(k) matching
Paid time off
+1
Product Marketing Manager, Tech, AWS Analytics
Product Marketing Manager, Tech, AWS Analytics

Amazon • Seattle (WA)

On-site
USD 119,000 - 160,000
Health insurance
RSUs included
Sign-on bonus
Business Intelligence Engineer II, Amazon Leo
Business Intelligence Engineer II, Amazon Leo

Amazon Kuiper Manufacturing Enterprises LLC • Bellevue (WA)

On-site
USD 100,000 - 160,000