Analytics Engineer - Content

Description

Good storytelling starts with great listening. At Audible, that means each role and every project has our audience in mind. Because the same people who design, develop, and deploy our products also happen to use them. To us, that speaks volumes.

About This Role

The Content Analytics group seeks an Analytics Engineer to support the success of our mission critical data initiatives. As Analytics Engineer - Content, you will be part of a team of analysts developing data assets that power our wide-ranging suite of data products, from BI frameworks to data science models.

You will contribute to a data-driven culture by helping teams transform their business requirements into foundational data systems that provide standardization and consistency across metrics and dimensions. You will be exposed to a wide range of functions from engineering and data science, to marketing, product management and content development.

You will be able to work with minimal oversight, conduct multiple tasks simultaneously, perform quality assurance checks, create analyses leveraging BI tools, and help guide others in best practices.

About You

You have an ability to work with big data while developing expertise on a wide range of tools and systems within a vast data infrastructure ecosystem. In addition to technical skills, you posess soft skills such as effective collaboration within a cross-functional team, and clear and compelling communication of requirements, recommendations and findings.

You are able to work with relatively minimal instruction and oversight, conduct multiple tasks and projects simultaneously, collaborate with cross functional stakeholders, and own deliverables end-to-end. You have the ability to collaborate with stakeholders to understand data needs, to represent key data insights visually in a meaningful way, to optimize frameworks to facilitate easier development of data assets, and to influence cross-functional teams to identify data opportunities to drive impact.

You enjoy enabling and scaling self-serve analytics for team members across the organization. You take pride in seeing your work represented across all spectrums of data products, knowing you have developed the foundation on which others are reliant upon. You embody the Audible people principle of Imagine and Invent Before They Ask by bringing creative ideas around data, processes and pipelines that will advance the team to the next stage.

As an Analytics Engineer - Content, you will...

• Collaborate with data professionals and business stakeholders to translate business objectives and product requirements into tangible data assets
• Develop, deploy, maintain and monitor data pipelines in support of business intelligence and data science data products
• Evolve and optimize data assets within the data warehouse over time through enhancement and deprecation initiatives
• Create and scale business intelligence analyses to address stakeholder use cases and business needs
• Enhance the data catalog through documentation of business logic and data transformations
• Facilitate data governance by enforcing standardization and consistency of core business metrics and dimensions
• Help to define and democratize our internal standards for code best practices, including style, readability, and maintainability
• Craft compelling self-service dashboards and analyses that generate tangible business outcomes

About Audible

At Audible, we innovate and inspire through the power of voice. We're changing the narrative on storytelling. As a leading creator and provider of premium audio storytelling, we've redefined the ways people access, discover, and share stories. The stories we tell have the ability to transport and transform everyday moments into meaningful experiences and it's our people who make Audible's service possible. We're listeners, storytellers, and problem-solvers. Our perspectives and experiences power our ideas and come together in our mission to unleash the power of the spoken word. Audible offers a Hub+Home hybrid workplace model that gives employees flexibility between gathering in an Audible workspace (work from hub) and remote work (work from home). For more information, please visit adbl.co/hybrid.

We are open to hiring candidates to work out of one of the following locations:

Newark, NJ, USA | Rutherford, NJ, USA

Basic Qualifications

• Master’s Degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Data Science, or a related field
• 3+ years of relevant experience in the areas of Computer Science, Data Analytics, or Data Science
• Demonstrated proficiency in leveraging workstream management and data cataloging/documentation tools
• Expert-level SQL/Python/R/AWS skills that allow you to comfortably and independently extract and merge data from varied sources

Preferred Qualifications

• Intellectual curiosity for what drives the business
• Experience developing data systems of evolving royalty models, of advancing subscription businesses, and/or of data-driven pricing policies
• Proficiency in data visualization tools such as Tableau & Microstrategy
• Ability to operate in a high-energy, high-intensity and rapidly evolving environment
• Strong presentation skills, including story-telling with data

Audible is committed to a diverse and inclusive workplace. Audible 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Company - Audible, Inc.

Job ID: A2413472