Business Intelligence Engineer II, Amazon Global Logistics

Amazon

Bellevue (WA)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

Amazon is seeking a Business Intelligence Engineer to support Sales, Marketing, and Pricing analytics for Global Logistics. You will build end-to-end BI solutions, handling big data and deriving insights to drive growth.

The role emphasizes designing scalable analytics, SQL querying across Redshift/Oracle, and delivering dashboards and automated reports in a fast-paced environment.

Qualifications

  • 3+ years of analytics/data interpretation experience using Redshift, Oracle, NoSQL.
  • 1+ years of SQL, ETL or Oracle experience.
  • 1+ years handling large multi-source datasets for reporting.
  • 1+ years of statistical analysis experience.
  • 1+ years of automated reporting development.
  • Bachelor’s degree in a related field.

Responsibilities

  • Design, develop, and maintain scalable analytics systems, reports, and dashboards to support business needs.
  • Apply analytical and statistical rigor to drive business decisions and growth.
  • Write high-quality SQL to retrieve data and understand data resources across databases.
  • Develop queries and visualizations for ad-hoc requests and ongoing reporting.
  • Provide thought leadership and cross-functional business analysis to support analytics infrastructure.

Skills

SQL
ETL
Python
Tableau
Quicksight
Data mining
Statistics
Big data

Education

Bachelor's degree in CS/Engineering/Math/Economics

Tools

Redshift
Oracle
NoSQL
MySQL
ETL tools

Job description

The Amazon Global Logistics Analytics team drives multiple core and advanced science initiatives for Fulfillment By Amazon (FBA). The approach and technology are disruptive, challenging traditional methods and transforming industry operations. Amazon seeks an exceptional Business Intelligence Engineer to support Sales, Marketing, and Pricing analytics for Global Logistics. This individual will build new business intelligence solutions end-to-end. The ideal candidate will be passionate about working with big data sets and have the expertise to derive insights, answer business questions, and drive growth.

Key job responsibilities
  • Design, develop, and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. to support analytical and business needs for customer promise and operations.
  • Use analytical and statistical rigor to solve complex problems and drive business decisions to achieve strategic goals.
  • Write high-quality SQL code to retrieve and analyze data from database tables (e.g., Redshift, MySQL, Oracle), and understand Amazon's data resources to determine appropriate usage.
  • Develop queries and visualizations for ad-hoc requests, projects, and ongoing reporting.
  • In addition to leading the design, development, and management of analytical tools and reporting, the successful candidate will provide thought leadership and business analysis support as needed. They will demonstrate strong business acumen, experience in developing reporting and analytical infrastructures, excellent communication skills, the ability to work effectively with cross-functional teams, and the capacity to thrive in a fast-paced, ever-changing environment.
A day in the life

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

  • Medical, Dental, and Vision Coverage
  • Maternity and Parental Leave Options
  • Paid Time Off (PTO)
  • 401(k) Plan

Learn more about our benefits here: https://www.amazon.jobs/en/internal/benefits/us-benefits-and-stock

  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • 1+ years of SQL, ETL or Oracle experience
  • 1+ years of processing large, multi-dimensional datasets from multiple sources experience
  • 1+ years of performing statistical analysis experience
  • 1+ years of developing automated reporting experience
  • 3+ years of in the job offered or a related occupation experience
  • 1+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

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

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