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Jobs at Snowflake, Inc in United Kingdom

Data Visualisation Scientist

Data Visualisation Scientist
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Remote Senior Software Engineer (LLM) - 34953
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Data Visualisation Scientist

Bertelsmann
London
GBP 48,000 - 56,000
Job description

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 stakeholdersto 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

Essential criteria:

  • Experience in business analysisand 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:

  • Front end development experience for web apps using e.g. JavaScript, D3, CSS and/or a desire to grow in this area
  • 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.

Salary

Circa £48,000 dependent on how your skills and experience align to the role, plus bonus and benefits.

Hybrid working

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.

Company:The Random House Group Limited

Country:United Kingdom

State/Region:London

City: London

Postal Code:SW11 7BW

Job ID:280824

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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