Come build the future with us! Amazon Ads is seeking a Senior Business Analyst to drive data and automation projects to support the Product Marketing organization.
What unites all Amazonians (across teams and geographies) is that we are all striving to delight customers and make their lives easier—whoever that customer may be. In pursuit of delighting customers, Amazonians have developed many products and services that transformed the way our customers live their lives and run their businesses. Together, we are building the future, one innovative product, service, and idea at a time. Amazon Ads is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, publishers, and entrepreneurs. Our ad solutions—including retail media, display, video, DSP, measurement, and ad tech solutions—leverage Amazon’s innovations and insights to find, attract, and engage intended audiences throughout their daily journeys.
The Sr. Business Analyst is a critical role in helping the Product Marketing organization define and build new data infrastructure to better understand the impact that we deliver for our customers. This role will define requirements to align disparate data sets, build and manage ongoing reporting of Product Marketing analytics, provide user requirements to product and engineering teams to streamline data management (metadata, taxonomy), and work cross-functionally with Product Marketing stakeholders to build solutions that can minimize manual or redundant workflows. This role requires a mix of data expertise and a strong operational mindset.
Key job responsibilities
- Define and implement product marketing analytics requirements and data infrastructure needs
- Own Airtable workspace architecture to synthesize data from multiple sources into actionable formats
- Drive development and maintenance of user-friendly reporting dashboards to support Product Marketing and GTM workstreams
- Lead metadata optimization projects to improve how information is stored and queried
- Drive AI-enabled automation initiatives to increase operational efficiency
- Establish and maintain data usage governance frameworks
