At a Glance
- Tasks: Teach and develop innovative marketing analytics programmes while conducting impactful research.
- Company: Brunel University London, committed to inclusivity and academic excellence.
- Benefits: Generous leave, training opportunities, hybrid working, and a solid pension scheme.
- Other info: Join a dynamic team with a focus on collaboration and student engagement.
- Why this job: Shape the future of marketing analytics and inspire the next generation of students.
- Qualifications: Expertise in marketing analytics and programming skills in Python, R, or SQL.
The predicted salary is between 55000 - 65000 € per year.
We are seeking to appoint a Senior Lecturer in Marketing Analytics or a closely related area (e.g., Digital Marketing or Consumer Analytics) to support the strategic development of Marketing Analytics provision within the Department. We are recruiting for either Teaching & Research or Academic Education contract types and will appoint to one post; applicants are welcome to indicate their preferred contract in their application.
Key Responsibilities
- Teach across undergraduate and postgraduate programmes in marketing analytics, consumer analytics, programming for marketing, and AI for brand management, including module design and delivery, student supervision, assessment and the development of new analytically focused provision.
- Maintain a research programme, producing high‑quality outputs in line with REF expectations and securing external research funding.
- Develop external partnerships with industry, government and third‑sector organisations to support research collaboration, knowledge exchange and student opportunities such as placements and applied learning.
- Contribute to departmental leadership commensurate with seniority, encompassing programme or module leadership, mentoring colleagues and involvement in strategic initiatives supporting the growth of Marketing Analytics provision.
- Support broader academic life, including administrative responsibilities, quality assurance and activities supporting student experience and engagement.
Qualifications and Experience
- Expertise in marketing analytics, digital marketing, consumer analytics or a closely related quantitative discipline.
- Demonstrable experience of programming and analytical tools in teaching and research contexts (Python, R or SQL).
- Track record of successful research, including publication, REF and securing external funding.
Benefits & Working Conditions
- Generous annual leave package plus discretionary university closure days.
- Excellent training and development opportunities.
- Occupational pension scheme.
- Hybrid working approach.
Contract & Working Hours
- Full‑time permanent contract.
Equal Opportunity
All Applicants should be eligible to live and work in the UK for the duration of any offer of appointment. Brunel University London is fully committed to creating and sustaining a fully inclusive workforce culture. We welcome applicants from all backgrounds and communities, particularly those who are currently under‑represented.
Senior Lecturer in Marketing Analytics - 16873 in London employer: Brunel University of London
Brunel University London is an exceptional employer, offering a vibrant work culture that fosters inclusivity and collaboration. With generous annual leave, excellent training opportunities, and a hybrid working model, employees can thrive both personally and professionally. The university's commitment to research excellence and industry partnerships provides unique opportunities for growth and impactful contributions in the field of Marketing Analytics.
Contact Detail:
Brunel University of London Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Lecturer in Marketing Analytics - 16873 in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the marketing analytics field, attend industry events, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your teaching materials, research outputs, and any projects you've worked on. This will give potential employers a taste of what you can bring to the table, especially in areas like programming for marketing and AI.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing answers to common questions related to marketing analytics and your teaching philosophy. We recommend doing mock interviews with friends or colleagues to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team and contributing to the growth of Marketing Analytics provision.
We think you need these skills to ace Senior Lecturer in Marketing Analytics - 16873 in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your application to highlight your expertise in marketing analytics and related areas. We want to see how your experience aligns with the key responsibilities outlined in the job description.
Showcase Your Research:Don’t forget to include details about your research achievements, especially any publications or successful funding applications. This is a big deal for us, so make it shine!
Be Clear About Your Preferences:If you have a preference for the Teaching & Research or Academic Education contract type, let us know in your application. It helps us understand where you see yourself fitting in best.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Brunel University of London
✨Know Your Stuff
Make sure you brush up on your knowledge of marketing analytics, digital marketing, and consumer analytics. Be ready to discuss your experience with programming tools like Python, R, or SQL, as these will likely come up in conversation.
✨Showcase Your Research
Prepare to talk about your research achievements and how they align with REF expectations. Highlight any successful publications and funding you've secured, as this will demonstrate your capability to contribute to the department's research goals.
✨Engage with Industry Connections
Think about how you've developed partnerships with industry or government organisations in the past. Be ready to share examples of how these collaborations have benefited your research or teaching, as this is key for the role.
✨Demonstrate Leadership Skills
Since the position involves departmental leadership, be prepared to discuss your experience in mentoring colleagues and leading programmes. Share specific examples of initiatives you've been involved in that support growth in marketing analytics.
