Associate Director, Analytics

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
We are looking for a data-driven, detail-oriented Analyst professional. You will be responsible for supporting the growth plan and ongoing development of our retail business function. You are an independent, analytical self-starter to take a leading role in supporting key decision-making by creating and communicating bespoke analyses which will inform how we shape and develop the customer experience, product, content offering, customer engagement and business results. You have sharp problem solving skills, comfortable with ambiguity and the ability to analyze data and draw conclusions are the keys to success for this position.

As an Associate Director, Analytics, you will...
- Conduct ad-hoc analysis through database querying, followed by insightful interpretation of results and the formulation and communication of recommendations that drive action
- Design, implement, and analyse A/B tests and other experiments to evaluate and inform business strategies and product features
- Work as a business partner with marketing and product teams in order to tackle business challenges, and track marketing and product performance with a data driven approach. The ability to scope a problem, formulate relevant questions, draw relevant data and provide insights from the data is critical for the role
- Leverage SQL, MicroStrategy, Tableau, Excel and other reporting tools to create and maintain scheduled and Adhoc reports
- Analyse data to identify business problems and lead deep dives to perform root cause analysis
- Maintain a deep understanding of business drivers and an innate grasp of business metric definitions, and pro-actively interact with business leaders to give context and support them in interpreting reporting data
- Identify opportunities for optimization and improvement in business processes and strategies through data analysis
- Develop compelling presentations and documents - and communicate them with impact

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 in the areas of Business Intelligence, Analytics or Consulting in an e-commerce environment or related field
- Experience with SQL including ability to independently extract data from databases
- Experience with one or more industry analytics and metrics visualization tools (e.g. Tableau/QuickSight/PowerBI) and proven experience in Excel

Preferred Qualifications
- Degree in data science, business, economics, information technology, statistics, mathematics or other related field
- Comfortable in data-centric environments
- You enjoy working in a team of highly engaged individuals
- Passion for numbers, data and metrics, but also for delivering actionable analysis of highest quality
- Strong bias for action, highly organized and ability to complete tasks and projects with little guidance and tight deadlines
- Excellent communication (verbal and written), interpersonal skills, and an ability to effectively communicate with both business leadership and technical teams
- Experience with membership, subscription based or media content businesses
- Experience with and / or interest to learn more on cutting edge data science approaches
- Programming languages: strong knowledge of Python. Knowledge of other programming languages, like Java or C#, or of statistical software's like R or SAS
- Knowledge of Adobe Analytics

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