Job description


Lecturer (Marketing Analytics) (3076)

About the Team:

Manchester Fashion Institute (MFI) has an established reputation within the education sector, we align ourselves with elite fashion schools worldwide. We are uniquely positioned as one the largest specialist fashion providers in UK HE we provide depth and breadth of expertise in our subject. We are a hub, working collaboratively across disciplines and borders, our research and teaching cross science, the arts, business, health, sociology, sport and digital. We will build an environment for staff and students where diversity and equality flourish, where innovation is powered by a multitude of perspectives and cultures. We are looking for a Lecturer in Marketing Analytics to join our dynamic and growing team. The successful candidate will contribute to the students’ educational journey, bringing experience, skills and knowledge to inspire the next generation of fashion talent for an ever-changing industry.

About the role:

We are seeking a Lecturer in Marketing Analytics to develop and deliver undergraduate and postgraduate programme content in line with the faculty’s teaching strategy, and participate in the overall contribution to enhancing the reputation of the University for teaching quality, research and knowledge exchange.

The ideal candidate will have in depth experience in business in particular the digital landscape, the performance of business as identified through data, including a broad understanding or the global fashion environment. Ideally, you will have developed, delivered and assessed the subject in an HE environment, but we are also interested in industry professionals looking to move into an academic career. The role requires a flexible approach and a commitment to the academic, employability and personal developmental needs of students.

For informal enquiries, please contact Maria Malone (Principal Lecturer – Fashion Business) on Interviews mid-May.

Please apply by submitting a CV and Cover letter via our application portal.

The successful applicant will have:

Key skills:

  • A good first degree together with a PhD in a relevant discipline or equivalent qualifications/experience.
  • A strong grasp of the dynamics within the fashion retail environment and the relationship with the customer.
  • Ability to analyse business performance through customer data insight and be able to support students in the visualisation of this data so that it can tell a meaningful and impactful story.
  • An expert in advanced Excel and data analytics in the context of new and emerging systems within the fashion business environment, with a broad understanding of the economy and the global geopolitical presence of retail, particularly the digital landscape in fashion retail would be ideal.



  • A PGCE, Certificate of Education, PGCLTHE or membership of the Higher Education Academy (or commitment to obtain within three years of appointment).
  • Membership of relevant professional bodies, demonstrating professional standing.
  • Successfully publish results of research to the REF, in peer reviewed journals or monographs, or publish/exhibit professional practice.

Manchester Metropolitan University is committed to supporting the rights, responsibilities, dignity, health and wellbeing of staff and students through our commitment to equality, diversity and inclusion.

We promote applications from all sections of the community, irrespective of background, belief or identity, recognising the benefits that a diverse organisation can bring .

We particularly encourage applications from Black and Minority Ethnic candidates, who we recognise are underrepresented in this area.

We recognise the benefits and importance of an environment that supports flexible working and are open to conversations about this throughout the application process.

Further Links

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Manchester All Saints Campus
Oxford Road, Manchester, UK, M15 6BH
  • Location:
    Manchester All Saints Campus
  • Faculty / Function:
    Arts and Humanities
  • Salary:
    Grade 8 (£35,845 to £41,526)
  • Closing Date:
    25 April 2021
  • Contract Type:
  • Contracted Hours per week:
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