Business Intelligence Engineer, GS S&O - Operational Excellence

$89,600 - $185,000/Yr

Amazon - Bellevue, WA

Full-time - Mid Level

Bellevue, WA

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Business Intelligence Engineer will be responsible for developing and implementing data models, data governance frameworks, and interactive dashboards to facilitate data-driven decision-making across the organization. This role involves close collaboration with stakeholders to understand their analytical needs and provide self-service analytics and reporting capabilities.

Responsibilities

• Develop and maintain data models and schemas for various data sources.
• Contribute to the design and implementation of a centralized data warehouse architecture.
• Collaborate with data engineers and architects to ensure alignment between data models and the underlying data infrastructure.
• Establish and enforce data governance policies and procedures to maintain data quality and integrity.
• Implement data quality controls, monitoring, and reporting mechanisms.
• Continuously monitor data quality and collaborate with teams to implement remediation measures.
• Build interactive dashboards and visualizations to present key metrics and insights.
• Develop self-service analytics and reporting capabilities for users.
• Collaborate with business users to understand their analytical requirements.
• Conduct enterprise-wide data discovery and profiling to identify potential data sources.
• Analyze data sources for relevance, quality, and potential integration into the BI ecosystem.
• Develop comprehensive training materials and documentation for analytics and reporting tools.
• Provide training and support to business users for effective adoption of BI solutions.
• Stay up-to-date with emerging BI technologies and propose enhancements.

Requirements

• Experience with data modeling, warehousing, and building ETL pipelines.
• 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 in Python.
• Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, or equivalent quantitative field.
• 3+ years of analyzing and interpreting data with experience in Redshift, Oracle, NoSQL, etc.
• Experience with data visualization using Tableau, Quicksight, or similar tools.
• Knowledge of advanced skills in Excel and familiarity with data visualization tools.

Nice-to-haves

• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
• Experience in data mining, ETL, and using databases in a business environment with large-scale datasets.

Benefits

• Comprehensive medical, financial, and other benefits.
• Equity and sign-on payments as part of total compensation package.