Postgraduate Applied Data Analytics Lecturers FT

Salary: $86,000 - $100,000 (pro-rated to FTE)

Mō Tēnei Tūranga Mahi | About the Role

The Postgraduate Applied Data Analytics Lecturer is a part-time position (0.5 FTE, 18 hours per week) based in Hawke's Bay for the period 5 April 2027 to 17 December 2027.

The successful candidate is expected to commence employment in April 2027.

The appointing salary for this role will be between $86,000 and $100,000 (pro-rated to FTE), dependent on skills and experience.

The Postgraduate Data Analytics Lecturer reports to the Head of School and will be responsible for:

• Developing and updating postgraduate curriculum and course materials.
• Delivering engaging learning experiences across face-to-face, online, and blended modes.
• Assessing student performance and providing timely, constructive feedback.
• Supervising postgraduate research projects and dissertations.
• Supporting student wellbeing and academic success.
• Participating in research, scholarship, and industry engagement activities.
• Maintaining accurate academic and student records.
• Undertaking moderation and quality assurance activities.
• Building effective relationships with industry, community, and academic stakeholders.
• Contributing to programme planning, continuous improvement, and School initiatives.

He kōrero mōu | About You

To be successful in this role you will have:

• A postgraduate qualification in Data Analytics, Data Science, Statistics, Computer Science, Information Systems, or a related discipline.
• Experience in applied data analytics, data science, business analytics, or a related professional field.
• Strong knowledge of statistical analysis, machine learning, data visualisation, databases, and applied analytics.
• Demonstrated ability to teach and engage learners at postgraduate level.
• Experience designing and developing curriculum and learning resources.
• Proficiency with tools and technologies such as Python, R, SQL, Power BI, and learning management systems.
• Experience supervising applied research projects or postgraduate student work.
• Excellent communication skills with the ability to explain complex concepts to diverse audiences.
• Strong organisational, planning, and problem-solving skills.

As an inclusive and supportive employer, we value diversity and want to encourage anyone interested to apply, regardless of whether you tick all the boxes or not. We know that people from underrepresented groups and women in particular don't apply for roles if they're not a 100% match, but we're not looking for perfection, we're looking for potential. We want to see the real you in your application and welcome the real you on board if you come and work with us. Skills are gained across many areas of life, not just in formal employment. If you can demonstrate the skills listed in the advert, but the experience was gained through whānau life, community or mahi aroha (volunteering) we encourage you to apply and share your story with us in your Cover Letter. For more information, please view the Position Description below.

Mō Mātou | About us

EIT is a vibrant and progressive tertiary institute with campuses in Tairāwhiti (Gisborne), Hawke’s Bay, and Auckland, and learning centres throughout the region. We are committed to Te Tiriti o Waitangi and to delivering services that meet the needs of Māori learners and their whānau, as well as iwi aspirations.

Me pēhea te tono | How to apply

Applicants should have NZ residency or a valid NZ work visa and will undergo pre-employment checks, including a New Zealand Police vet as this role is identified as a children’s worker.

If this exciting and rewarding role sounds like your next career move, we encourage you to apply. Submit your CV and cover letter with your online application. For questions, contact [email protected].

Applications will be reviewed as they are received, and this may close early if a suitable candidate is identified.

For a copy of the Job Description visit postgraduate-applied-data-analytics-lecturer-position-description-0926.pdf