Postgraduate Applied Data Analytics Lecturers FT

Eastern Institute of Technology; Auckland; Hybrid; NZD 86,000 - 100,000; Part time

Job summary

Eastern Institute of Technology is seeking a Postgraduate Applied Data Analytics Lecturer for a 0.5 FTE role (18 hours per week) based in Hawke's Bay. The appointment runs 5 April 2027 to 17 December 2027, with commencement in April 2027.

The salary range is $86,000–$100,000 (pro-rated to FTE) depending on skills and experience. The successful candidate will develop and update postgraduate curriculum, deliver across face-to-face, online, and blended modes, supervise research projects, support

Qualifications

• 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.

Responsibilities

• 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.

Skills

Teaching postgraduate learners

Curriculum development

Communication skills

Organisational skills

Problem-solving

Education

Postgraduate qualification in Data Analytics or related discipline

Tools

Python

R

SQL

Power BI

Learning Management Systems

Job description

Postgraduate Applied Data Analytics Lecturers FT

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.

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.

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.

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.