Lecturer in Business Analytics

PRIMARY DETAIL

This is an exciting opportunity for a experienced and driven Lecturer to join our energetic team in Macquarie Business School.

• Salary Package: Lecturer (Level B), from $115,787 to $136,995 p.a. plus 17% employer’s superannuation and annual leave loading
• Appointment Type: Full-time, continuing
• Location: Macquarie University (North Ryde)

THE ROLE

Macquarie University’s growing discipline of Business Analytics seeks a Lecturer with scholarly expertise in business analytics, applied data science, and information systems.

To be successful in the role you will make a strong contribution to research and to teaching at both the undergraduate and postgraduate levels. You may also proactively contribute to the efforts of the Department to enhance its reputation with external audiences.

The position is open to both domestic and international candidates. Visa arrangements can be made for successful international candidates.

About Us
Macquarie Business School offers a range of undergraduate and postgraduate programs and employs casual academic staff to support the teaching of these programs. Each year, there are employment opportunities for casual academic staff to participate in the delivery of programs. Teaching roles will be undertaken under the supervision of full time academic staff. Please consider this opportunity if you feel that you have the ability to help prepare the next generation of business practitioners. 

The Department of Actuarial Studies and Business Analytics is home to the discipline of business analytics and information systems and a leading provider of business analytics education in the Australasian region. The Department has been one of the first in Australia to offer a bachelor’s in Business Analytics since 2015. The Department offered Master of Business Analytics in 2020, which is currently ranked #2 in Australia and #71-80 worldwide as per 2023 QS Ranking. In addition to courses in business analytics, the Department also offers programs in cyber security governance and business information systems. In the latest QS 2024 Subject Rankings, Macquarie is also ranked 48th globally in Data Science and Artificial Intelligence and fifth in Australia.

The Department actively engages in and promotes research in both qualitative and quantitative aspects of business analytics, data science, information systems and technology management. We have expertise in a range of endeavours from applied through to the more theoretical. Our expertise covers quantitative, statistical and mathematical data modelling methods and qualitative methods into investigation of organizational and societal implications of data analytics as well as applications of artificial intelligence and technology management. Staff are given generous financial support for their research endeavour. Being a member of a large department, you will have a fair teaching load that provides you with time to engage fully with your research.

To Apply
To be considered for this position, please apply online by submitting the following documents:

• A statement addressing the relevant selection criteria below; and
• A current curriculum vitae (CV);

Selection Criteria

Level B – Lecturer

• A PhD (completed or near completion) in business analytics, information systems, applied data science, or a related field;
• A record of quality research publications in business analytics, data science or a related field in FT50, UTD24 100, and/or in A* and A rank journals as per ABDC journal list;
• Engagement, or a plan for engagement, with the wider community in order to further enhance teaching and or research outcomes;
• A record of high-quality teaching in business analytics and data science;
• Experience with Python or other programming languages
• Strong knowledge of SQL and database management
• Experience with data visualization tools and platforms (e.g. Tableau, Power BI, Qlik, etc.)
• An ability to develop new approaches to teaching in business analytics, data science including application of large language models and GenAI;
• Evidence of work as a team player in the delivery of administrative tasks related to teaching and research;
• Membership of relevant professional organizations is desirable but not essential for the right candidate.

Specific Role Enquiries: Professor Babak Abedin, Head of Department, on [email protected]

General Recruitment Enquiries: Samantha Poulos, HR Consultant on [email protected]

Applications Close: Friday, 21 June 2024 at 11:59PM (AEST)

If you're already part of the Macquarie Group (MQ University, U@MQ, MQ Health, MGSM), you'll need to apply through your employee Workday account. To apply for this job: Login to Workday and go to the Careers App > Find Jobs.

Applications Close:

21/06/2024 11:59 PM

Diversity and Inclusion

08/05/2024