Business Intelligence Engineer, APO Centralized Data and Insights

$74,100 - $165,600/Yr

Amazon - San Francisco, CA

Full-time - Mid Level

San Francisco, CA

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

About the position

The Business Intelligence Engineer (BIE) role within the AWS Centralized Data and Insights Team (CDI) focuses on developing scalable business intelligence solutions to support the AWS Partner Organization. The BIE will leverage ETL, scripting, SQL, and visualization skills to provide actionable insights and drive data-driven decision-making across various business metrics. This position emphasizes collaboration with multiple teams to enhance reporting capabilities and optimize partner investments.

Responsibilities

• Provide thought leadership in global business deep dives across a variety of key performance indicators.
• Proactively make and justify recommendations based on statistical techniques and cross-referencing multiple data sources.
• Automate reporting for regular metrics and identify areas for automation and scaling of ad-hoc analyses.
• Own alignment and standardization of analytical initiatives across global partner teams.
• Define, develop, and build business-critical metrics and reports across all business levers and key performance indicators.
• Provide data engineering with functional and technical requirements to improve efficiency of data pipelines.
• Drive efforts with business leaders, BI leaders, and executive management across the partner organization.
• Stay updated with the latest technology/techniques in Generative AI to enhance reporting.
• Partner with engineering, product, business, and finance teams to create key performance indicators and new methodologies for measurement.
• Translate data into actionable insights for stakeholders and create analytical insights to identify key priorities.

Requirements

• 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL experience.
• Experience with one or more industry analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g., t-test, Chi-squared).
• Experience with scripting language (e.g., Python, Java, or R).

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.

Benefits

• Flexible work culture
• Diversity and inclusion programs
• Mentorship and career growth opportunities
• Work-life balance initiatives