Our mission is to ignite a universal passion for reading by creating books for everyone. We believe that books, and the stories and ideas they hold, have the unique capacity to connect us, change us, and carry us toward a better future for generations to come.

Penguin Random House, the world’s largest trade book publisher, employs more than 11,000 people globally. With more than 300 imprints and brands on six continents, Penguin Random House comprises adult and children’s fiction and nonfiction print and digital English- German- and Spanish-language trade book publishing businesses in more than 20 countries worldwide.

With over 16,000 new titles, and more than 700 million print, audio and eBooks sold annually, Penguin Random House’s publishing lists include more than 80 Nobel Prize laureates and hundreds of the world’s most widely read authors.

Penguin Random House was formed on July 1, 2013, upon the completion of an agreement between Bertelsmann and Pearson to merge their respective trade publishing companies. As of April 1, 2020, Bertelsmann is full owner of the company.

This is an exciting role at the intersection of storytelling and technology. If you are excited about the idea of applying quantitative thinking to decision-making processes in a creative industry setting, this is the role for you!

Please apply by August 19, 2024 and include your resume and salary requirements for consideration. Before applying for any role at Penguin Random House, we recommend you review our applicant resources page and look over our open-to-remote guidelines on our FAQs page.

Essential Tasks and Responsibilities:

• Have a thorough understanding of PRH’s data sources and how to leverage internal tools and systems to collect and analyze data. Follow data governance best practices and maintain the integrity of company data.
• Utilize Zeitgeist data tools to analyze industry data and identify title opportunities in the practical nonfiction space that are a good fit for Zeitgeist’s data-informed publishing program.
• Understand our editorial process and how data can be used to support editorial decisions.
• Translate data findings into actionable insights for colleagues across Zeitgeist. Write reports and provide feedback as needed to help answer questions related to content, design, production, marketing and sales.
• Take ownership of day-to-day data tasks to ensure that downstream data insight needs are met throughout the title development process.
• Work with a mindset of continuous development and optimization of data processes to increase efficiency.
• Support the Director, Data Analytics with data analytics needs as required

Soft Skills Required:

• Excitement about Zeitgeist’s data-informed approach to publishing.
• Willingness to experiment with new technologies.
• Attention to detail.
• Ability to take initiative and work with a high level of independence.
• Proactive approach to completing outstanding tasks.
• Enthusiasm about learning new skills as needed.
• A positive can-do attitude; ability to pivot and adapt as needed.
• Excellent written and verbal communication skills.
• Comfortable working with teams remotely.

Technical Skills Required:

• Proficiency in SQL and Python.
• Familiarity with MS PowerBI or a similar data reporting tool preferred.
• Familiarity with command line tools and Git version control preferred.
• MS Excel skills (pivot tables, VLOOKUP, etc.) and familiarity with other MS Office applications.
• Familiarity with key machine learning and natural language processing concepts.

Experience Required:

• Bachelor's degree in computer science, mathematics, statistics, or another relevant field.
• Strong mathematical and statistical background.
• Hands-on experience with data analysis and machine learning projects.
• Experience translating data findings into actionable business insights.
• Experience in publishing, or the media industry more broadly, is a plus.