Sr. BIE, Amazon Leo B2B

About the role

The Amazon Leo Business-to-Business (B2B) team is seeking a talented individual to lead the development and optimization of business intelligence (BI) strategies and best practices across various business domains. This role will focus on defining the team’s BI vision, strategy, and best practices, developing and optimizing models to forecast revenue, product mix, and sales pipelines, and driving strategic shifts in business practices.

Responsibilities

• Develop pre-launch and post-launch reporting methodologies for revenue attainment, sales forecasts, labor demand and capacity management, product and service plan mix, and seasonality.
• Analyze large data sets to identify patterns and drive strategic shifts in business practices, impacting key decisions and customer experience.
• Drive actions at scale to optimize forecast methodology and drive improvements to forecast reliability.
• Create recurring competitive insights and actionable trend analysis.
• Write queries to extract data and insights combining datasets within Amazon Leo with publicly available datasets.
• Design, build, and maintain automated reporting, dashboards, and recurrent analysis to inform and influence data-driven decisions for business operations.
• Deliver comprehensive, written strategy documents considering different types of data and inputs across a broad range of stakeholders.
• Communicate effectively with senior management audiences (e.g., narratives, inputs into weekly/monthly/quarterly business reviews).
• Drive best practices in operational excellence, data modeling, and analysis.
• Ensure that BI solutions are correctly and efficiently supporting the business.
• Participate in hiring activities and mentor junior team members.

Qualifications

• 5+ years of processing large, multi-dimensional datasets from multiple sources
• Experience with data modeling, warehousing, and building ETL pipelines
• Experience understanding needs of business and end customers and translating them into right solutions
• Experience with data visualization using Tableau, Quicksight, or similar tools
• 2+ years of root cause analysis and process design experience
• Fluency in statistical concepts and advanced statistical techniques (distributions, confidence intervals, time series analysis, regression models, clustering)