Associate Director of Analytics, SAMBA
Global Insights & Data Science | Job ID 3208050Job Summary
ABOUT THIS ROLE
As an Associate Director of Analytics at Audible, you will drive the design, implementation, and delivery of Analytics solutions in the paid media problem space that will have a long-term impact on our business. You will deliver solutions that address customer and business problems in the marketing space (ROI measurement, experimentation, optimization, etc.) and directly impact the goals of our Marketing organization. In addition, you will raise the bar on already well-developed sets of analytic, economic, scientific, and financial frameworks that drive decisions across multiple marketing channels and product surfaces. With a “consulting mindset”, you will influence the organization towards adopting new approaches, concepts, and paradigms.
ABOUT YOU
You are proficient in SQL and Python with demonstrated experience delivering products or prototypes end-to-end (from conception, to design, to specification, to code, to test, to measurement, to presentation). You possess an in-depth knowledge of relevant data sources, business intelligence technologies, data science and analytical tools: you know what’s possible, in which direction to steer, and how to move fast with solutions, adjustments, and recommendations.
You connect the dots and understand system inter-dependencies and limitations to build efficient solutions. You can frame hypotheses, decisions, and assumptions into a testable structure. You work fast, deliver reliably against your commitments, and have a strong handle on processes that enable your success. You have a business acumen that helps you speak fluently in your business partners’ language, helping them achieve or surpass their goals. You can break down complexity and find innovative solutions to cross-functional problems. You are a team player who is excited to collaborate with other analysts and scientists in our broader organization.
As an Associate Director, Analytics, you will...
- Define and execute measurement and optimization approaches for Audible’s marketing organization, identifying relevant data sources and leveraging best practice analytical methodologies, including creating and instrumenting the right KPI framework(s)
- Consistently deliver accurate and insightful analysis, driving high-quality decision making within our business
- Work with stakeholders across the marketing value chain, including but not limited to the following spaces: Brand, Paid Media, Acquisition, Promotions, Revenue Management, and Retention
- Collaborate effectively with other members of our organization, including other analysts, scientists, and economists
- Participate in the broad Amazon insights community, sharing and leveraging best practices and new analytical approaches
- Serve as strategic thought partner to stakeholders in the Marketing organization, earning trust through insightful analysis and clear communication
- Build and maintain reports, dashboards, and other tools to enable on-demand insights for the business
- Write compelling documents and deliver crisp presentations, translating complex problems into simplified, relevant outputs that can be quickly understood and actioned by both technical and non-technical audiences
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
- Experience utilizing R or Python
- Experience with one or more analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI)
- 5+ years of relevant experience in the areas of Strategic Analytics, Business Intelligence, Data Science, or Consulting
- Experience working with marketing measurement and optimization frameworks, methodologies, and models
- Experience spearheading or supporting business initiatives through data-driven decision making, through the conception and execution of measurement frameworks, decision making systems, simulation and scenario tools, and data science models
- Demonstrated high achievement in prior roles, with increasing levels of responsibility and independence
Preferred Qualifications
- Experience with marketing analytics
- Experience in e-commerce, digital products or entertainment industries
- Knowledge of causal inference
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NJ, Newark - 143,400.00 - 194,000.00 USD annually
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