Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Unlock the value of data by collaborating with suppliers and partners.
- Company: Leading UK retailer with a focus on innovation and growth.
- Benefits: Competitive benefits and a chance to shape data monetisation strategies.
- Why this job: Make a real impact in a hybrid role that drives data-driven decisions.
- Qualifications: Experience in data analysis and strong communication skills.
- Other info: Join a dynamic team in Manchester with exciting career opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A leading retailer in the UK is seeking a Data Monetisation Specialist to join its team in Manchester. In this hybrid role, you will unlock the value of the company's data by working closely with suppliers and agency partners.
Responsibilities include identifying investment opportunities and supporting the delivery of data products. The ideal candidate will enjoy competitive benefits and have the chance to significantly impact the company's data monetisation strategy.
Data Monetisation Architect — Revenue & Partnerships in Manchester employer: Co-op
Contact Detail:
Co-op Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Monetisation Architect — Revenue & Partnerships in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in data monetisation. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with data products and partnerships. This will help you stand out during interviews.
✨Tip Number 3
Research the company! Understand their data monetisation strategy and think about how you can contribute. This knowledge will impress them and show you’re genuinely interested.
✨Tip Number 4
Apply through our website! We make it easy for you to connect with us directly. Plus, it shows you’re keen on being part of our team and ready to dive into the role.
We think you need these skills to ace Data Monetisation Architect — Revenue & Partnerships in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data monetisation and partnerships. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data monetisation and how you can contribute to our team. Keep it engaging and personal – we love a good story!
Showcase Your Analytical Skills: Since this role involves unlocking data value, make sure to highlight any analytical projects or experiences you've had. We’re looking for someone who can think critically and identify investment opportunities.
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’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Co-op
✨Know Your Data Inside Out
Make sure you understand the company's data landscape and how it can be monetised. Research their current data products and think about potential investment opportunities you could propose during the interview.
✨Showcase Your Collaboration Skills
Since this role involves working closely with suppliers and agency partners, be prepared to discuss your experience in collaboration. Share specific examples of how you've successfully partnered with others to deliver data-driven solutions.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems related to data monetisation. Practice articulating your thought process and decision-making skills, as this will demonstrate your strategic thinking abilities.
✨Highlight Your Impact
Be ready to discuss how your previous work has directly contributed to revenue growth or improved data strategies. Use metrics and specific outcomes to illustrate your impact, as this will resonate well with the interviewers.
