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- Tasks: Drive marketing strategy through data insights and market intelligence.
- Company: Leading educational institution focused on innovation and growth.
- Benefits: Competitive salary, generous benefits package, and career development opportunities.
- Why this job: Make a real impact by optimising campaigns with data-driven insights.
- Qualifications: Strong experience in data analysis and customer segmentation.
- Other info: Join a dynamic team and enhance your skills in a supportive environment.
The predicted salary is between 30000 - 42000 £ per year.
A leading educational institution is seeking a Data and Research Lead to drive marketing strategy through data insights and market intelligence.
Responsibilities include:
- Data analysis
- Market research
- Collaboration with teams for campaign optimization
The ideal candidate should have strong experience in data analysis and customer segmentation.
This full-time role offers a competitive salary and generous benefits package.
Marketing Data & Insights Lead in Oxford employer: Saïd Business School, University of Oxford
Contact Detail:
Saïd Business School, University of Oxford Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Data & Insights Lead in Oxford
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or case studies showcasing your data analysis and market research projects. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions related to data insights and marketing strategies. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Marketing Data & Insights Lead in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis and customer segmentation. We want to see how your skills align with the role of Marketing Data & Insights Lead, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about driving marketing strategy through data insights. We love seeing candidates who can connect their personal experiences to our mission.
Showcase Your Analytical Skills: In your application, include specific examples of how you've used data to inform marketing strategies or optimise campaigns. We’re looking for concrete evidence of your analytical prowess, so don’t hold back!
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Saïd Business School, University of Oxford
✨Know Your Data Inside Out
Make sure you’re well-versed in data analysis techniques and tools relevant to the role. Brush up on your knowledge of customer segmentation and be ready to discuss how you've used data insights to drive marketing strategies in the past.
✨Research the Institution
Familiarise yourself with the educational institution’s mission, values, and recent marketing campaigns. This will not only help you tailor your answers but also show that you’re genuinely interested in the role and the organisation.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or analyse case studies. Think about how you would approach market research and campaign optimisation using data insights, and be ready to share specific examples from your experience.
✨Showcase Collaboration Skills
Since the role involves working with various teams, be prepared to discuss your experience in cross-functional collaboration. Highlight instances where your data-driven insights have positively impacted team projects or marketing outcomes.
