Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analyst (Royalties)

Bertelsmann
Colchester
2 weeks ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Join our dynamic Royalty Operations team at Penguin Random House, where you will play a crucial role in ensuring the accuracy and efficiency of our royalty systems. As a Data Analyst (Royalties), you will support the Royalty Operations Team Leader in maintaining the integrity of sales data and its presentation on royalty statements.

In this role, you will be responsible for monitoring and verifying data feeds, conducting thorough testing of new system developments, and ensuring that all processes run smoothly without any negative impact. Your analytical skills will be key in supporting the team leader to guarantee that sales data is accurate and correctly reflected in royalty statements. If you have a keen eye for detail and a passion for data, we invite you to apply and become a vital part of our innovative team.

This is a part time opportunity at 21 hours per week.



Key responsibilities:

  • Reconciliations of SAP, affiliate and co-edition sales to Royalty System and Business Objects.
  • Internal auditing of Author and ISBN records.
  • Manual adjustment of sales records.
  • Analysis and distribution of weekly reports and investigation into anomalies in the database (Royalty exception reports, and warnings files)
  • Testing and documentation of new system developments
  • Production and analysis of Licensing Royalty Statements
  • Analysis of unexpected Publication Prices in Royalty Sales file, and update whereappropriate
  • Liaising with team members from within PRH and external partners in regard to adhoc queries.
  • Escalate any ongoing issues to Royalty Operations Team Leader
  • Assist with the maintenance of and querying coming from the Royalty Statement Portal
  • Work with Royalty Operations Team Leader regarding mini-projects as they arise


What you’ll bring


Essential criteria:

  • Experience in a high-volume transaction business area where accuracy is essential
  • Strong capabilities in Microsoft Outlook, Excel, and Word
  • Strong numerical skills and an attention to detail
  • Highly organised and able to prioritise work effectively to meet deadlines
  • Good communication skills including being able to build strong relationships with other parts of the business


Application instructions


Please apply with your CV and cover letter outlining why you are the right candidate for the role by 11:59pm on Monday 25th August.


Salary


Circa £25,000 FTE (Actual salary circa £15,000) 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 expect that you will work from our office in Frating, Essex, a minimum of one day per week, every Wednesday.

Company: The Random House Group Limited | Job ID: 281998


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.

Jobs

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.

Jobs

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.