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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, bonuses, 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: Collaborate with diverse teams and contribute to impactful business strategies.
The predicted salary is between 38400 - 67200 £ per year.
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.
- 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 practice, know how to tell a story using data to guide business decisions.
- 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.
Data Visualisation Scientist employer: The Random House Group Limited
Contact Detail:
The Random House Group Limited 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 social media and engage with their content to understand what makes a compelling visual story. This knowledge will help you stand out during interviews.
✨Tip Number 2
Network with professionals in the data science and visualisation community. Attend meetups, webinars, or conferences where you can connect with others in the field. Building these relationships can lead to valuable insights and potential referrals.
✨Tip Number 3
Showcase your skills through a portfolio of your work. Create a collection of your best data visualisations that demonstrate your ability to tell stories with data. This will give you a tangible way to discuss your experience during interviews.
✨Tip Number 4
Prepare for the interview by practising how to explain complex data concepts in simple terms. Stakeholders may not have a technical background, so being able to communicate effectively is key. Role-play with a friend to refine your approach.
We think you need these skills to ace Data Visualisation Scientist
Some tips for your application 🫡
Understand the Role: Read the job description carefully to grasp the key responsibilities and required skills. Tailor your application to highlight how your experience aligns with the specific needs of the Data Visualisation Scientist position.
Craft a Compelling Cover Letter: Your cover letter is crucial. Use it to showcase your passion for data visualisation and how your background in business analysis and problem-solving makes you a strong candidate. Keep it concise, ideally one to two pages, and ensure it reflects your understanding of the role.
Highlight Relevant Experience: In your CV, emphasise your experience with data visualisation tools like PowerBI or Tableau, and your proficiency in SQL. Include specific examples of projects where you've transformed complex data into impactful visual narratives.
Proofread and Format: Before submitting your application, proofread both your CV and cover letter for any errors. Ensure that the formatting is professional and easy to read. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at The Random House Group Limited
✨Showcase Your Visualisation Skills
Prepare a portfolio of your previous data visualisation projects. Be ready to discuss the tools you used, the challenges you faced, and how your visualisations impacted business decisions.
✨Understand the Business Context
Research Penguin Random House and its publishing strategies. Understand their key stakeholders and think about how your role as a Data Visualisation Scientist can support their goals.
✨Demonstrate Problem-Solving Abilities
Be prepared to discuss specific examples where you've used data analysis to solve business problems. Highlight your analytical thinking and how it led to actionable insights.
✨Ask Insightful Questions
Prepare thoughtful questions for your interviewers about their current data visualisation practices and future goals. This shows your genuine interest in the role and helps you understand how you can contribute.
