Amazon Advertising is looking for a curious and resourceful business intelligence leader to join the Support Products & Services team. We ensure that advertisers using self-service advertising applications can answers or solutions through our robust Help products, our LLM-driven chatbot, or through our WW network of contact centers. The BI leader will build critical backend datasets and related business reporting to measure opportunities and performance for all aspects of our support offerings. With their team, they will also use ML analysis to inform in-application Help targeting strategy.

Key job responsibilities
• Hire and manage a team of analysts, BIEs, and a data engineer to deliver projects while also assisting with their learning goals and career growth
• Design, write, and drive detailed specifications for development and maintenance of robust reporting and other analytical systems
• Drive development of quantitative models necessary for evaluation and implementation of metrics
• Manage and execute entire projects or components of large projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.
• Define and manage the request intake process for the team and prioritize different tasks in partnership with all stakeholders
• Work closely with partner product and engineering teams to deliver an integrated roadmap
• Building OP forecasts by working closely with senior leadership and Finance
• Work with teams from across Amazon to improve data quality within their respective products and platforms
• Drive operational excellence for data ingestion, transformation and publication to ensure confidence in the systems we build
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
• Champion adoption of self-service analytical tools and reporting environments

A day in the life
A typical day will include one-on-one meetings with your directs, consultations with business leaders on defining and building KPIs, managing communication and expectations with dozens of stakeholders, collaborating with Data Science on interesting new topics, and more.