At a Glance
- Tasks: Lead data analysis to drive product excellence and support publishing success.
- Company: Join a dynamic team at a leading educational publisher.
- Benefits: 25 days holiday, flexible working, pension contributions, and local discounts.
- Other info: Hybrid working policy with opportunities for professional growth and development.
- Why this job: Make a real impact through data and collaboration in a supportive environment.
- Qualifications: Strong data skills, especially in Excel, and excellent communication abilities.
The predicted salary is between 32000 - 32000 £ per year.
Learning changes lives – and we’re here to drive that change. We support people wherever and however they want to learn, so they can achieve their learning goals and uncover new possibilities. Today, we reach more learners than ever, in more ways than ever.
About the Role
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.
We operate a hybrid working policy that requires a minimum of 2 days per week in the Oxford office.
About You
- 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 organizational 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 organization.
- Experience in a busy administrative role.
- Experience with providing data from multiple sources.
- Experience of business process improvements.
- 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. Please see our Rewards and Recognition page for more information.
We are committed to supporting diversity in our workforce, and ensuring an inclusive environment where all individuals can thrive. We seek to employ a workforce representative of the markets that we serve and encourage applications from all.
Lead Product Data Analyst in Oxford employer: Oxford University Press
At OUP, we are dedicated to fostering a collaborative and inclusive work environment that prioritises employee well-being and professional growth. As a Lead Product Data Analyst, you will benefit from a flexible hybrid working policy, generous holiday allowance, and a supportive culture that encourages continuous improvement and innovation. With access to extensive employee networks and a commitment to diversity, OUP is an excellent employer for those looking to make a meaningful impact in the publishing industry.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Product Data Analyst 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 Lead Product Data Analyst role.
✨Tip Number 2
Prepare for the interview by brushing up on your data skills, especially with Microsoft Excel and Power BI. Be ready to showcase how you've used these tools in past roles to drive improvements and insights.
✨Tip Number 3
Showcase your problem-solving skills during interviews. Think of specific examples where you identified data issues and implemented solutions. This will demonstrate your proactive approach and ability to adapt to new challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of our team at StudySmarter.
We think you need these skills to ace Lead Product Data Analyst in Oxford
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Lead Product Data Analyst role. Highlight your experience with data analysis, especially using Microsoft Excel and Power BI, as well as any relevant publishing experience. We want to see how your skills align with our mission of driving change through learning!
Showcase Your Problem-Solving Skills:In your application, don’t just list your skills; give us examples of how you've tackled data issues or improved processes in previous roles. We love seeing proactive approaches and innovative solutions, so let us know how you’ve made a difference!
Communicate Clearly:Since this role involves a lot of collaboration and communication, make sure your written application reflects your excellent communication skills. Use clear and concise language, and don’t shy away from showing your personality – we’re looking for someone who can engage with a wide network of stakeholders!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of success. It’s super easy, and you’ll be able to keep track of your application status. Plus, it shows us that you’re genuinely interested in joining our team at StudySmarter!
How to prepare for a job interview at Oxford University Press
✨Know Your Data Tools
Make sure you brush up on your knowledge of Microsoft Excel, Power BI, and the Biblio publishing system. Be ready to discuss how you've used these tools in past roles, especially for data analysis and reporting. Showing that you're comfortable with these systems will give you a leg up!
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've identified and resolved data issues in previous positions. Think about specific challenges you faced and how you approached them. This will demonstrate your proactive attitude and ability to adapt to new requests and ideas.
✨Communicate Effectively
Since this role involves working closely with various stakeholders, practice articulating your thoughts clearly and concisely. You might even want to prepare a brief presentation or explanation of a data project you've worked on to showcase your communication skills.
✨Emphasise Continuous Improvement
Be ready to discuss how you've contributed to process improvements in your past roles. Highlight any experiences where you've refined workflows or enhanced tools to ensure data accuracy. This aligns perfectly with the role's focus on driving continuous improvement.
