Want to help reinvent TV advertising? This is your chance to have a positive impact on millions of Amazon customers worldwide while working with industry-leading technologies. The Brand & Video demand team is growing. We're looking for a passionate, team-oriented, technically savvy and talented Business Intelligence Engineer with experience building innovative, sophisticated platforms and experiences that customers love.
As a Sr. BIE on this team, you will be responsible for building and owning the delivery of an analytical roadmap within Streaming TV advertising. This role requires an individual with excellent business, communication, and technical skills, enabling collaboration with various functions, including Product Managers, Data Engineers, Finance Managers, Software Engineers, Data Scientists, as well as senior leadership. The successful candidate will be a self-starter thriving in ambiguity and challenges; competent in handling complex and large datasets and open business problems. The person has strong ownership and an ability to work in a fast-paced, ever-changing, and high-energy environment.
Key job responsibilities
- Support new initiatives and provide data ownership end-to-end with business stakeholders; drive continued growth through data insights
- Review existing data challenges to deliver a comprehensive solution with appropriate data strategy and tools
- Design, develop, build, and maintain scalable data solutions, including infrastructure, pipeline, reporting, to support long-term business strategies
- Simplify and re-invent current data solutions to support the business scope expansion
- Identify and implement solutions for managing data across publisher ads business to maximize synergy and efficiency
- Translate business problems into data questions, find solutions to solve those questions with resourcefulness
- Identify areas of opportunities and present analytical findings and recommendations to business leadership
- Work cross-functionally with other teams in various job families to gather data sources to provide a comprehensive view of the business, inclusive of supply, demand, sales, operations, shopper, etc.
- Recognize and adopt best practices in reporting/analysis: data integrity, test design, analysis, validation, and documentation
A day in the life
You will develop and implement advanced models and tools, perform statistical analysis, and evaluate large datasets to create customized models and dashboards. Furthermore, you will play a crucial role in designing a reliable and scalable infrastructure for ongoing reporting and analytics. Your responsibilities will also include structuring complex problems, designing analytics solutions across multiple disciplines, and providing actionable recommendations that inform strategic planning, product strategy and launches, engineering improvements, marketing campaign optimization, customer service trends, and competitive research.
