Amazon Sr Business Intelligence Lead Amazon Publisher Monetization Analytics 

United States, Washington, Seattle 

14586893

Driving long-term growth for our ad supported media service requires striking a balance between providing an experience customers will love and creating products that advertisers want to buy (brand safe, relevant audience, etc.). In this role, you will partner closely with product managers, business stakeholders, data engineers and software engineers to generate usable metrics to support high judgment decisions. You will go beyond report generation and invest in automation to scale the analytics needs for all business and technical stakeholders. You will be exposed to a wide range of technologies, systems, and business challenges. This is Day 1 for this team so you will be joining an entrepreneurial and pioneering team that is building from scratch.Key job responsibilities
• Design, develop and maintain scaled, automated, user-friendly systems, reports, and dashboards enabling stakeholders to manage the business and make effective decisions.
• Work with Product Managers in understanding the business requirements and implementing solutions to support product plans.
• Conduct ad hoc data analysis and data quality investigations.
• Implement training and documentation solutions that enables stakeholders to get the most out of our self-serve analytics tools.
• Develop and support the analytical technologies that give our customers timely, flexible and structured access to their data.
• Defining, developing and maintaining critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis
• Analysis of historical data to extract meaningful insights from large and complex data sets to identify trends and support decision making, including written and verbal presentation of results and recommendations
• Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of machine learning models
• Understanding of Amazon’s data resources, which to use, how, and whenSeattle, WA, USA

- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining