BI Engineer: Finance Analytics & Science Team

Socket.dev; Seattle (WA); On-site; USD 100,000 - 160,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking a creative, analytical Business Intelligence Engineer to join the ACES BI team in Seattle, WA. The role focuses on SQL, ETL, data wrangling, and Python for modeling and analysis, partnering with Finance, Science, and Business groups to answer key questions and guide decisions.

Experience with Redshift is preferred. You will design and maintain metrics, ensure data integrity, and use AI to automate workflows and reveal new patterns in large datasets, enabling self-serve data

Qualifications

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience using Python scripting to process data for modeling.
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.

Responsibilities

• Work with business customers to gather requirements and deliver complete data analytical solutions
• Learn why customers are asking for data and what their underlying questions and business goals are
• Own the design, development, and maintenance of ongoing metrics and analyses used to drive key business decisions
• Recognize and adopt best practices, including data integrity, accuracy, and reliability, as well as documentation
• Leverage AI and emerging innovation in data infrastructure to automate repetitive workflows, accelerate analyses, and unlock new patterns from complex datasets
• Drive data democratization throughout the organization, enabling others to self-serve their data needs

Skills

SQL

Python

ETL

Data wrangling

Data analysis

Data modeling

Tools

Redshift

Oracle

NoSQL

Job description

Amazon is seeking a creative, analytical Business Intelligence Engineer to join the ACES BI team in Seattle, WA. The role focuses on SQL, ETL, data wrangling, and Python for modeling and analysis, partnering with Finance, Science, and Business groups to answer key questions and guide decisions.

Experience with Redshift is preferred. You will design and maintain metrics, ensure data integrity, and use AI to automate workflows and reveal new patterns in large datasets, enabling self-serve data