Senior Analytics Engineer AI Data Products & Leadership

Metlifecare; Auckland; On-site; NZD 120,000 - 160,000; Full time

Benefits offered by this job

3 paid wellness days per annum

Birthday leave: 1 paid day per year

Health Insurance - for permanent staff

26 weeks parental leave on full pay

Kiwisaver contributions

Employee assistance program (EAP)

Refer a friend incentive up to $1500

Access to online training modules

Education, Development and Training

Job summary

Metlifecare is seeking a Senior Analytics Engineer to evolve our data and analytics capability from descriptive reporting to predictive analytics and AI-driven decision making. You will lead advanced analytics, build scalable data products, and mentor a growing team.

You will work closely with the Data & Analytics Lead to shape standards, governance and the AI roadmap, delivering trusted data products across the organisation.

Qualifications

• 5+ years of experience as an Analytics/Data Engineer.
• Proven track record in leading analytics initiatives.
• Ability to translate complex concepts for a range of stakeholders.
• Collaborative approach with a coaching mindset.
• Experience in healthcare, aged care or retirement living is advantageous but not essential.

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 for self-service analytics.
• Develop, deploy and manage production machine learning models with monitoring and optimization.
• Partner with business stakeholders to identify opportunities where data can drive value and outcomes.
• Provide technical leadership through code reviews, mentoring and coaching.
• Champion best practice across analytics engineering, testing, CI/CD, documentation and governance.
• Contribute to innovation initiatives and shape the future analytics and AI roadmap.

Skills

Analytics/Data Engineer

Lead technical delivery

Stakeholder empathy

Mentoring

Tools

Snowflake

dbt

Fivetran

Python

Power BI

Job description

Metlifecare is seeking a Senior Analytics Engineer to evolve our data and analytics capability from descriptive reporting to predictive analytics and AI-driven decision making. You will lead advanced analytics, build scalable data products, and mentor a growing team.

You will work closely with the Data & Analytics Lead to shape standards, governance and the AI roadmap, delivering trusted data products across the organisation.