DESCRIPTION

Amazon is investing in building a customer centric, world class advertising business. In this role, you will be on the cutting edge of developing publisher solutions across Streaming Video, Streaming Audio and Display Advertising. These are nascent, high growth areas, including Amazon’s Prime Video, Alexa, Amazon Music, and new acquisitions in Podcasting, where scalable, programmatic Ad publisher solutions are critical to business success.
As a Senior Business Intelligence Engineer for Supply Forecasting, you will have an enormous opportunity to impact the customer experience and business of cutting-edge products and services. You'll be a key member of a growing organization's strategy of how to measure and improve the things that matter most to our customers. You will work with product leaders to analyze feature launches and engagement trends to generate key insights for future improvements. You will work with engineering teams to make sure that we have the data that helps us measure what matters most. Most importantly, you will work across teams to drive alignment of key metrics and performance indicators and set goals that help our teams achieve our long-term vision
A successful candidate is highly analytical, able to work extremely effectively in a matrix organization, and adept at synthesizing a variety of technologies and capabilities into products that Advertisers love. You must engage with customers to deeply understand their current and emerging needs. Publisher Technology at Amazon is rapidly evolving and you must develop customer insight to identify solutions and invent on behalf of the customer. We are looking for someone customer obsessed and technology savvy - with a passion for advertising. The ideal candidate will have a well-rounded technical background as well as a history of leading complex, ambiguous projects end-to-end.


Key job responsibilities
• Own the design, development, and maintenance of ongoing performance metrics, reports, analyses, and dashboards to drive key business decisions
• Transform data into actionable insights and influence the direction of the business by delivering automated insights and high-quality metrics dashboards.
• Partner with Data Engineering to define data models to develop streamlined automated data and analytical pipelines.
• Engage and collaborate with stakeholders to design and develop high quality metrics and dashboards that effectively track evolving business initiatives.
• Present and communicate findings and recommendations to product and leadership team.
• Engage with leadership and diversified stakeholder groups to understand data needs and recommend Business Intelligence solutions.