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About the position
Audible's insights team leverages data to create value for our company and customers. We're seeking a Business Intelligence Engineer for our marketing and product measurement science team, to help us understand the return on investment (ROI) of our paid media and brand investments. In this role you will help instill a data driven decision culture by leading the development of KPIs, dashboards, insights, and visualizations that drive a focus on results, execution, speed, and learning. You will work closely with Audible's global marketers to help them to make better paid media budget allocation decisions. You will also have exposure across the entire business, including a wide range of functions (e.g., engineering and data science, product management, creative and content development).
Responsibilities
- Consistently deliver accurate and insightful analysis, driving high-quality decision making within our business, and earning trust with business stakeholders
- Complete ad hoc / deep dive analysis as needed to help drive business decision making in an agile manner
- Collaborate effectively with other teams within GIDS, including partnering with teams focused on the immediate impact of our marketing actions, with the goal of understanding how short-term performance and long-term brand building work together to drive business outcomes
- Communicate clearly, translating complex problems into simplified, relevant outputs that can be quickly understood and actioned by both technical and non-technical audiences
- Partner closely with cross-functional (marketing, content, media, creative, etc) teams to understand business problems and identify opportunities through data driven approaches
- Participate in the broad Amazon insights community, sharing and leveraging best practices and new analytical approaches
Requirements
- Strong analytical and problem-solving skills
- Willingness to work in a collaborative environment with a global team
- Ability to generate data-driven insights that help address business problems
- Experience in developing end-to-end analytical solutions
- Strong communication skills to convey findings to leadership
- Eagerness to learn new technologies
- Ability to thrive in a dynamic environment
- Experience interacting with various partners and multi-functional teams
