At a Glance
- Tasks: Teach and research in Business Analytics, focusing on impactful empirical methods.
- Company: Join a leading university with a diverse and inclusive community.
- Benefits: Enjoy competitive salary, 30 days leave, and flexible working arrangements.
- Other info: Be part of a vibrant academic community with excellent career development opportunities.
- Why this job: Shape the future of business analytics while inspiring the next generation of students.
- Qualifications: PhD in relevant field and experience in teaching and statistical software.
The predicted salary is between 35000 - 45000 £ per year.
As Lecturer in Business Analytics, you will join the Department of Business Analytics and Applied Economics to build an ambitious research agenda in Applied Economics, Business Analytics or Operations and Management Science, with a clear focus on impact. You will deliver empirical methods training to undergraduates, teach across the department's MSc and undergraduate programmes, and contribute to curriculum development. You will pursue publications at internationally excellent level or higher, contribute to joint grant funding applications, and engage with the department's research culture.
You are an academic with clear potential to deliver high-quality research in business analytics, applied economics or a related field. You hold, or are close to completing, a PhD in management science, economics, statistics or similar, plus HE teaching accreditation (or the ability to obtain it). You bring some experience teaching undergraduate and/or postgraduate students, a working knowledge of statistical software such as STATA, Python or R, and a genuine commitment to helping less numerate business students grasp quantitative methods. You communicate complex ideas clearly and can develop competitive funding proposals.
SBM is one of five schools in QMUL's Faculty of Humanities and Social Sciences, home to around 150 academic staff across five departments. It is a large, research-active community with a diverse international student body, ranked 22nd of 108 UK business schools for research quality and 12th for impact in REF 2021. The Department of Business Analytics and Applied Economics is known for cutting-edge teaching and research published in leading journals. Joining SBM means being part of Queen Mary’s Strategy 2030 vision, with strong staff benefits including 30 days' annual leave and a competitive pension.
At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable. Throughout our history, we have fostered social justice and improved lives through academic excellence. We continue to embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.
Benefits:
- Competitive salaries
- Access to a generous pension scheme
- 30 days’ leave per annum (pro-rata for part-time/fixed-term)
- A season ticket loan scheme
- Access to a comprehensive range of personal and professional development opportunities
- A range of work life balance and family friendly, inclusive employment policies
- Flexible working arrangements
- Campus facilities
Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly.
Lecturer in Business Analytics employer: Technical University of Denmark
The University is an exceptional employer, offering a supportive and collaborative work environment that prioritises employee well-being and professional growth. With the flexibility of hybrid working and generous leave entitlements, including 36 days off, staff are encouraged to maintain a healthy work-life balance while contributing to the academic success of students in the Faculty of History.
Contact Details:
Technical University of Denmark Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lecturer in Business Analytics
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✨Join Local Business Intelligence Meetups
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We think you need these skills to ace Lecturer in Business Analytics
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Technical University of Denmark, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Technical University of Denmark
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Technical University of Denmark’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
