Senior Analytics Engineer

This is a pivotal opportunity to help shape Metlifecare's data and analytics capability as we continue our journey from descriptive reporting to predictive analytics and AI-driven decision making.

We are seeking a technically strong Senior Analytics Engineer who is equally passionate about building scalable data solutions and mentoring others

This is a senior, hands-on role where you will lead the design and delivery of advanced analytics, predictive modelling and machine learning solutions that support smarter business decisions across the organisation. Working closely with the Data & Analytics Lead, you will assist in building trusted data products, influence technical standards, and mentor fellow Analytics Engineers.

Kery Responsibilities

Lead the design and delivery of complex analytics, predictive modelling and machine learning solutions.

Build and maintain scalable data products using Snowflake, dbt, Fivetran, Python and Power BI.

Design dimensional models, semantic layers and AI-ready data products that enable self-service analytics.

Develop, deploy and manage production machine learning models, including performance monitoring and ongoing optimisation.

Partner with business stakeholders to identify opportunities where data can drive value and better outcomes.

Provide technical leadership through code reviews, mentoring and coaching.

Champion best practice across analytics engineering, testing, CI/CD, documentation and data governance.

Contribute to innovation initiatives and help shape the future analytics and AI roadmap.

About you

With 5years + experienced as an Analytics/Data Engineer you combine strong technical expertise with a passion for solving complex business problems. You will bring proven experience leading analytics initiatives, influencing stakeholders, and mentoring others while helping build a modern, scalable data and analytics capability.

Demonstrated experience leading technical delivery and guiding others

Strong solution design, critical thinking and problem-solving skills

The ability to translate complex technical concepts for a range of stakeholders

A collaborative approach with a genuine passion for coaching and developing others

Experience within healthcare, aged care or retirement living would be advantageous, but is not essential.

About us

Established in 1984, Metlifecare is a leading owner and operator of retirement villages, providing rewarding lifestyles and care to more than 7,400 New Zealanders. We pride ourselves on providing retirement communities in which people are empowered to be the very best version of themselves. Metlifecare currently operates over 37 villages located around New Zealand and employs over 2000 staff.

Some of our Benefits!

3 paid wellness days per annum

1 paid day of leave to celebrate your birthday each year

Health Insurance - automatic cover free to all permanent staff

26 weeks of parental leave on full pay and 5 days paid leave for partners.

Kiwisaver payments continued for those opted in over the age of 65 years

Employee assistance program (EAP)

Refer a friend incentive of up to $1500\

Access to thousands of online training modules and courses from some of the world's leading learning specialists

* Education, Development and Training Support

How to apply

Please apply by clicking on the below APPLY NOW button or by visiting our careers page www.careers.metlifecare.co.nz/home

Not sure if this role is for you but interested in what else Metlifecare has to offer? Then please visit our careers page www.careers.metlifecare.co.nz/home to see our other current vacancies.

Follow us on our socials @metlifecarecareers

Please note that Identification and work eligibility is required with your application.

### Job Details

Reference #

• 51597
• Location(s)
• Newmarket (Metlifecare Support Office)
• Expertise
• Information Technology
• Job level(s)
• Qualified, Experienced
• Work type(s)
• Permanent full-time
• More details (document)
• Senior Analytics Engineer - Oct 26 PDF.pdf