What are the responsibilities and job description for the Business Intelligence Engineer, SAMBA position at Amazon?
DESCRIPTION
At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us.
ABOUT THIS ROLE
Audible's insights team leverages data to create value for our company and customers. We're seeking a Data Science Lead 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).
ABOUT YOU
You possess strong analytical and problem-solving skills and are willing to work in a collaborative environment with a global team to generate data-driven insights that help address business problems, develop end-to-end analytical solutions, and communicate findings to leadership. You work independently and are always eager to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and multi-functional teams to implement data science-driven business solutions.
As a Business Intelligent Analyst, you will...
- 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
ABOUT AUDIBLE
Audible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.
BASIC QUALIFICATIONS
- Bachelor's degree or equivalent practical experience
- 2 years of relevant professional experience in analytical field (e.g. Analytics, Business Intelligence, Management Consulting, Research), or advanced technical degree in quantitative field with 1 years of experience, including internship or relevant academic work
- Experience collaborating effectively with teams to successfully plan, execute analytical projects
- Proficient in communicating complex results and data-driven insights to diverse audiences, including non-technical stakeholders
- Experience with SQL, Python or R
- Experience developing BI reports using Tableau (or similar data visualization tool)
- Experience in using GenAI tool
PREFERRED QUALIFICATIONS
- Master's degree in relevant field.(Data Science, Statistics, Mathematics, Physics, Computer Information Science, Business Analytics, etc.)
- Experience with experimental methods and structured problem-solving
- Demonstrated ability to ramp up quickly on new technologies and tools
- Demonstrated ability to structure undefined problem spaces, and ramp up quickly in new areas
- Strong communication and presentation skills, with the ability to influence diverse stakeholders
- Personal passion for marketing science/analytics, brand, and/or media measurement
- Genuine curiosity, and an appetite for learning and growing
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
