Lead Product Data Analyst: Data Excellence for Publishing in Oxford

Lead Product Data Analyst: Data Excellence for Publishing in Oxford

Oxford Full-Time 50000 - 65000 £ / year (est.) No working from home possible
Oup Uk - Oxford

At a Glance

  • Tasks: Lead data analysis to enhance product excellence in publishing.
  • Company: Join a dynamic team at OUP focused on collaboration and innovation.
  • Benefits: Enjoy 25 days holiday, flexible working, and a generous pension contribution.
  • Other info: Be part of a supportive environment with great career growth opportunities.
  • Why this job: Make a real impact through data and continuous improvement in publishing.
  • Qualifications: Strong data skills, especially in Excel, and excellent communication abilities.

The predicted salary is between 50000 - 65000 £ per year.

We are looking for a Lead Product Data Analyst to join our dynamic and collaborative team, where product data excellence drives publishing success. In this role, you will ensure the timely creation and maintenance of accurate product data, supporting Education UK and International publishing teams from initial concept through to fulfilment.

Working within Biblio, our product data system, you will validate and manage product information, carry out comprehensive checks before key approval stages, and proactively identify and resolve data issues to ensure smooth integration across systems. You'll work closely with a wide network of stakeholders, including Publishing teams, Central Product Data, and Publishing Solutions, to maintain strong data standards and efficient processes.

A key aspect of the role will be interrogating data, driving continuous improvement, refining workflows, updating documentation, and enhancing tools to ensure consistency and accuracy in product data management. You'll also play a key role in communication and training, ensuring colleagues are well-informed and confident in using systems and following best practices.

In addition, you will support the development of reporting and operational tools that enable effective decision‑making and delivery. This includes implementing user‑friendly service systems, creating structured reporting through tools such as Power BI, and analysing data to identify trends and opportunities for improvement. You'll contribute to the design and rollout of programme and portfolio management tools, helping to streamline resource management and support successful editorial delivery. This is an opportunity to make a tangible impact through data, collaboration, and continuous improvement.

Essential
  • Excellent knowledge of Microsoft software packages.
  • Proven data skills, especially with Microsoft Excel (V‑Lookups / Pivot tables).
  • Capability to navigate data, analyse trends for insights as well as continuous improvement recommendations.
  • Excellent organisational and time‑management skills.
  • High‑level interpersonal skills with excellent written and verbal communication skills.
  • Proactive and flexible approach to new requests and ideas.
  • Strong problem‑solving skills with an ability to pick up new systems and processes.
  • Experience in a matrix environment and proven track record of supporting, advising and mentoring others.
  • Able to multi‑task effectively and adapt well to the fast pace of change in the organisation.
  • Experience in a busy administrative role.
  • Experience with providing data from multiple sources.
  • Experience of business process improvements.
Desirable
  • Experience of working in a Publishing organization.
  • Experience with Biblio publishing system.
  • Experience with SAP.
  • Experience with Power BI.

We care about work/life balance here at OUP. With this in mind we offer 25 days' holiday that rises with service, plus bank holidays and Christmas closure (3 days) and a 35‑hour working week. We are open to discussing flexibility in respect to working patterns, dependent on role. We also have a great variety of active employee networks and societies.

We help make your money go further by contributing to your pension up to 12%, offering loans and savings schemes through our partnership with Salary Finance, in addition to travel to work schemes and access to a wide range of local discounts. This role comes with the added benefit of a discretionary annual payment.

Lead Product Data Analyst: Data Excellence for Publishing in Oxford employer: Oup Uk - Oxford

At OUP, we pride ourselves on fostering a collaborative and innovative work culture that prioritises employee well-being and professional growth. As a Lead Product Data Analyst, you will enjoy a healthy work/life balance with 25 days of holiday, flexible working options, and access to various employee networks, all while making a meaningful impact in the publishing sector. Our commitment to continuous improvement and development ensures that you will have ample opportunities to enhance your skills and advance your career within a supportive environment.

Oup Uk - Oxford

Contact Details:

Oup Uk - Oxford Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Product Data Analyst: Data Excellence for Publishing in Oxford

Tip Number 1

Network like a pro! Reach out to current employees at the company through LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the role. This can give you insider knowledge and potentially a referral!

Tip Number 2

Prepare for interviews by practising common questions related to data analysis and product management. Use the job description as your guide to tailor your answers, showcasing how your skills align with their needs. We want you to shine!

Tip Number 3

Showcase your data skills! Bring examples of your previous work, especially if you've used tools like Power BI or Excel. Demonstrating your ability to analyse trends and improve processes will set you apart from the competition.

Tip Number 4

Don’t forget to follow up after your interview! A quick thank-you email reiterating your interest in the role and highlighting a key point from your conversation can leave a lasting impression. We’re all about making connections!

We think you need these skills to ace Lead Product Data Analyst: Data Excellence for Publishing in Oxford

Data Analysis
Microsoft Excel
V-Lookups
Pivot Tables
Trend Analysis
Organisational Skills
Time Management

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Lead Product Data Analyst role. Highlight your data skills, especially with Microsoft Excel, and any experience you have with publishing or similar environments. We want to see how your background aligns with our needs!

Showcase Your Problem-Solving Skills:In your application, don’t just list your skills—show us how you've used them! Share specific examples of how you've tackled data issues or improved processes in previous roles. This will help us see your proactive approach in action.

Communicate Clearly:Since this role involves a lot of communication, make sure your written application is clear and concise. Use straightforward language and structure your thoughts logically. We appreciate good communication skills, so let that shine through!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!

How to prepare for a job interview at Oup Uk - Oxford

Know Your Data Tools

Make sure you're well-versed in Microsoft Excel, especially with V-Lookups and Pivot tables. Brush up on your skills with Power BI too, as you'll likely be asked how you can leverage these tools to drive insights and improvements.

Understand the Publishing Process

Familiarise yourself with the publishing workflow and the role of product data within it. Being able to discuss how data excellence impacts publishing success will show that you understand the bigger picture and are ready to contribute.

Showcase Your Problem-Solving Skills

Prepare examples of how you've identified and resolved data issues in the past. Highlight your proactive approach and flexibility when tackling new requests, as this is crucial for maintaining strong data standards.

Communicate Effectively

Since you'll be working closely with various stakeholders, practice articulating your thoughts clearly and confidently. Be ready to discuss how you've trained or supported others in using systems and best practices, showcasing your interpersonal skills.