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- Tasks: Transform data into compelling visual stories and provide actionable insights.
- Company: Join Penguin Random House, a leading publishing house known for its innovative approach.
- Benefits: Enjoy flexible working options, competitive salary, and a vibrant office culture.
- Why this job: Be at the forefront of data-driven initiatives that shape the future of publishing.
- Qualifications: Experience in data visualisation tools like PowerBI or Tableau; SQL proficiency required.
- Other info: Work from our London office at least once a week; apply with CV and cover letter.
The predicted salary is between 38400 - 67200 £ per year.
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Join to apply for the Data Visualisation Scientist role at Penguin Random House UK
Are you passionate about transforming data into compelling visual stories? At Penguin Random House, we are looking for a talented Data Visualisation Scientist to join our Data Science and Analytics (DSA) team. In this role, you will work closely with stakeholders to understand their needs and provide actionable insights through innovative data visualisations. Your work will drive commercial decisions and help shape the future of our publishing house.
As a Data Visualisation Scientist, you will be at the forefront of our data-driven initiatives, turning complex data into clear, impactful visual narratives that inform and inspire. You will collaborate with a diverse range of teams, leveraging your expertise to influence key business strategies and contribute to the success of our renowned publishing house.
Key responsibilities:
- Proactively engage with business stakeholders to understand their questions and requirements, and provide data-driven insights and visualisations to address these
- Lead development of front-end data visualisation in DSA, from wireframes and data modelling to user testing and launch.
- Ensure we are at the forefront of data visualisation solutions by seeking innovative new ideas and possibilities for future developments
- Work with Head of Data Science and AI Product in development and delivery of impactful tools
- Support and maintain existing product, proactively troubleshoot data errors and resolve them with the help of Technology, Data Science and Business teams
- Collaborate with the DSA and Data Vis community across PRH and other Bertelsmann group companies to share best practices in data visualisations, lead any related collaborations efforts
What you’ll bring
- Experience in business analysis and problem-solving, with a focus on using data science and statistical analysis to drive business decisions.
- Dashboard development using PowerBI, or advanced experience with other similar data visualisation products such as Tableau, Looker, etc.
- Fluent in SQL; experience using Snowflake or other cloud data warehouses a plus.
- Understanding of data modelling best practice, bringing the data from Data Science output into the front end and writing documentation as you go.
- Good knowledge of data visualisation best practise, know how to tell a story using data to guide business decisions.
Preferred criteria:
- Some experience using Python and a desire to grow in this area
Application instructions
Please apply with your CV and cover letter outlining why you are the right candidate for the role by 11:59pm on Thursday 10th July.
Please ensure you include a cover letter, as it is a crucial part of our assessment process. The cover letter offers an opportunity to show how your experience and interests align with the role requirements. Typically, we expect the cover letter to be no more than one or two pages in length.
Circa £48,000 dependent on how your skills and experience align to the role, plus bonus and benefits.
While our offices across the UK are places to connect, collaborate and celebrate with colleagues, we recognise that flexibility around where you work is just as important. For this role, we would expect you to work from our office in London a minimum of one day per week.
Seniority level
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Seniority level
Associate
Employment type
-
Employment type
Full-time
Job function
-
Job function
Sales and Information Technology
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Industries
Book and Periodical Publishing
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Data Visualisation Scientist employer: Penguin Random House UK
Contact Detail:
Penguin Random House UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Visualisation Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in data visualisation. Follow industry leaders on platforms like LinkedIn and Twitter to stay updated on innovative techniques and tools that can enhance your visual storytelling skills.
✨Tip Number 2
Network with professionals in the data science and visualisation community. Attend relevant meetups or webinars to connect with others in the field, which could lead to valuable insights and potential referrals for the role at Penguin Random House.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully transformed complex data into clear visual narratives. Be ready to explain your thought process and the impact your work had on business decisions, as this will demonstrate your problem-solving abilities.
✨Tip Number 4
Showcase your proficiency in tools like PowerBI or Tableau by creating a portfolio of your best visualisations. This will not only highlight your technical skills but also your ability to tell compelling stories through data, making you a strong candidate for the position.
We think you need these skills to ace Data Visualisation Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data visualisation and business analysis. Focus on specific projects where you've transformed data into visual stories, and mention any tools like PowerBI or Tableau that you've used.
Craft a Compelling Cover Letter: Your cover letter is crucial for this application. Use it to explain why you're passionate about data visualisation and how your skills align with the role. Be specific about your experience and how it can benefit Penguin Random House.
Showcase Your Technical Skills: In your application, emphasise your proficiency in SQL and any experience with cloud data warehouses like Snowflake. Mention your familiarity with data modelling best practices and how you can apply them in this role.
Highlight Collaboration Experience: Since the role involves working with various teams, include examples of past collaborations. Describe how you've engaged with stakeholders to understand their needs and how you provided actionable insights through your visualisations.
How to prepare for a job interview at Penguin Random House UK
✨Showcase Your Visualisation Skills
Prepare to discuss your experience with data visualisation tools like PowerBI, Tableau, or Looker. Bring examples of your previous work that demonstrate how you've transformed complex data into clear, impactful visuals.
✨Understand the Business Context
Research Penguin Random House and their publishing model. Be ready to explain how your data insights can drive commercial decisions and support their business strategies.
✨Engage with Stakeholders
Highlight your ability to communicate effectively with various stakeholders. Prepare to discuss how you would approach understanding their needs and translating them into actionable data insights.
✨Prepare for Technical Questions
Brush up on your SQL skills and be ready to discuss data modelling best practices. You might be asked to solve a problem or provide a quick demonstration of your technical abilities during the interview.
