Business Intelligence Engineer, APO Centralized Data and Insights

$74,100 - $165,600/Yr

Amazon - Jersey City, NJ

Full-time - Entry Level

Jersey City, NJ

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

About the position

The Business Intelligence Engineer (BIE) role within the Centralized Data and Insights Team (CDI) at AWS focuses on developing scalable reporting solutions that drive insights for the AWS Partner Organization (APO). The BIE will leverage large datasets to create actionable insights and reporting artifacts, collaborating with cross-functional teams to enhance data-driven decision-making. This position requires a blend of technical expertise in data processing and strong communication skills to effectively engage with both technical and non-technical stakeholders.

Responsibilities

• Implement data pipelines from disparate sources to ingest, transform, and store data in a scalable format.
• Gather and understand data requirements, working with cross-functional teams to achieve high-quality and scalable data solutions.
• Dive deep into requirements to unearth optimal reporting design with Operations leads and drive constructive technical discussions.
• Build end-to-end BI solutions.
• Determine lineage to understand the chain of custody and transformation of data to build enablement material.
• Create interactive data visuals using tools like QuickSight, Tableau, and Matplotlib.
• Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency.

Requirements

• 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
• Experience with one or more analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI).
• Experience with data querying or modeling with SQL.

Nice-to-haves

• Master's degree or advanced technical degree.
• Knowledge of data modeling and data pipeline design.
• Experience with statistical analysis and correlation analysis.
• Knowledge of how to improve code quality and optimize BI processes (e.g., speed, cost, reliability).

Benefits

• Flexible work culture
• Mentorship and career growth opportunities
• Diverse and inclusive workplace
• Work-life balance initiatives