Sr. Business Intelligence Engineer, APO Centralized Data and Insights

$117,300 - $202,800/Yr

Amazon - Austin, TX

Full-time - Senior

Austin, TX

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

About the position

The Sr. Business Intelligence Engineer (BIE) role within the AWS Specialist Partner Organizations Centralized Data and Insights Team (CDI) focuses on developing scalable business intelligence solutions to enhance reporting capabilities and drive actionable insights for the AWS Partner Organization. This position requires a blend of technical expertise in ETL, SQL, and data visualization, along with the ability to collaborate with various stakeholders to optimize partner investments and improve data-driven decision-making.

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 of opportunity to scale 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

• 10+ years of professional or military experience
• 5+ years of SQL experience
• Experience programming to extract, transform and clean large (multi-TB) data sets

Nice-to-haves

• Experience working directly with business stakeholders to translate between data and business needs
• Experience managing, analyzing and communicating results to senior leadership
• A passion for data science and advanced analytical tools e.g. ML
• Experience with theory and practice of design of experiments and statistical analysis of results

Benefits

• Comprehensive medical, financial, and other benefits
• Equity and sign-on payments as part of total compensation package
• Flexible working culture to support work-life balance
• Mentorship and career growth opportunities