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Business Intelligence Engineer

1 month ago

West Lake Sammamish, Washington, United States Amazon Web Services, Inc. Full time
About the Role

We are seeking a highly skilled Business Intelligence Engineer to join our team at Amazon Web Services, Inc. As a Business Intelligence Engineer, you will be responsible for designing and implementing data models, data governance frameworks, and interactive dashboards and visualizations to drive data-driven decision-making across the organization.

Key Responsibilities
  • Develop and maintain data models and schemas for Page0 data, entitlement model data, propensity model data, and other relevant data sources.
  • Contribute to the design and implementation of a centralized data warehouse architecture, ensuring scalability, performance, and data integrity.
  • 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, consistency, and integrity for Page0 data, entitlement model data, and propensity model data.
  • Implement data quality controls, monitoring, and reporting mechanisms to ensure data accuracy and reliability.
  • Continuously monitor data quality, identify issues, and collaborate with relevant teams to implement remediation measures as needed.
  • Build interactive dashboards and visualizations to present key metrics and insights for Page0, entitlement models, and propensity models.
  • Develop self-service analytics and reporting capabilities, enabling users to explore and analyze data independently.
  • Collaborate with business users to understand their analytical requirements and translate them into effective visualizations and reports.
  • Conduct enterprise-wide data discovery and profiling to identify potential data sources and understand their characteristics.
  • Analyze data sources for relevance, quality, and potential integration into the BI ecosystem.
  • Develop comprehensive training materials and documentation for Page0 data, analytics, and reporting tools.
  • Provide training and support to business users, ensuring effective adoption and utilization of BI solutions.
  • Continuously monitor data quality and optimize data flows to ensure efficient and reliable data delivery.
  • Stay up-to-date with emerging BI technologies, tools, and best practices, and propose enhancements or new solutions to improve the organization's BI capabilities.
About the Team

At Amazon Web Services, Inc., we value diverse experiences and encourage candidates from all backgrounds to apply. Our team is passionate about delivering high-quality solutions and working collaboratively to achieve our goals.

About AWS

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, providing a robust suite of products and services to power our customers' businesses.

Why AWS?

We are committed to creating a workplace that is inclusive, diverse, and supportive of our employees' growth and development. Our employee-led affinity groups foster a culture of inclusion, and we offer ongoing events and learning experiences to inspire our uniqueness.

Mentorship & Career Growth

We believe in the importance of mentorship and career growth. Our employees have access to knowledge-sharing, mentorship, and other career-advancing resources to help them develop into better-rounded professionals.

Work/Life Balance

We value work-life harmony and strive to provide flexibility as part of our working culture. Our employees can achieve success at work without sacrificing their personal lives.

BASIC QUALIFICATIONS
  • 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 (Python) to process data for modeling.
  • Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance, or equivalent quantitative field.
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. experience.
  • Experience with data visualization using Tableau, Quicksight, or similar tools.
  • Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred).
  • Experience writing complex SQL queries.
PREFERRED QUALIFICATIONS
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets.