Kia ora!
There is huge demand for insights from Air NZ’s unique and complex data landscape. We need Senior Analytics Engineers to work in cross-functional squads and bring robust, efficient, and trusted AI-ready data products and solutions to life. Analytics Engineers speak the language of business and technical teams, translating business questions into trusted analytical models while building the reliable, secure and scalable foundations those models depend on.
The role you will play:
- Develop enduring, governed and trusted analytical foundations that make complex data accessible and business-readable.
- Enable high-quality self-service and AI-assisted analytics, allowing teams to confidently discover, understand and use trusted data.
- Design data with both people and AI in mind, ensuring analytical products are well structured, documented and ready for emerging AI use cases.
- Partner with business and technical teams to turn complex, ambiguous problems into well-designed analytical solutions that deliver meaningful business outcomes.
- Set and champion analytics engineering standards and patterns, improving the quality, consistency, reusability and maintainability of analytical products across the organisation.
- Grow capability across the craft through technical leadership, coaching and knowledge sharing.
What you’ll bring to the role:
- 5+ years’ experience in analytics engineering, AI and/or BI development, data warehousing or a related data role, including delivery of complex analytical solutions in an enterprise environment.
- Demonstrated experience designing scalable data models, data marts or semantic layers and leading technical solution design across multiple data sources and stakeholder groups.
- Strong working knowledge of AI-ready data design, governance considerations, evaluation approaches and delivery frameworks that support machine consumption, including the data patterns needed for AI, ML and generative AI use cases.
- Proven experience partnering with business leaders and SMEs to shape roadmaps, prioritise opportunities and translate ambiguous problems into actionable analytics initiatives.
- Coaching, mentoring and peer leadership capability that grows craft maturity and uplifts delivery quality.
- Excellent stakeholder engagement, facilitation and influencing skills across business and technology groups.
Why should you join us?
This is your opportunity to make a real impact on how Air New Zealand uses its unique and complex data. If you're passionate about building trusted, scalable data products, enjoy solving complex business problems and want to help shape the future of self-service and AI-assisted analytics, we'd love to hear from you.
Applications close on 16 September 2026. Apply online now!
At Air New Zealand, we are proudly committed to diversity, equity and inclusion and believe in creating a truly inclusive workplace where everyone can be themselves and thrive. Our people are our greatest asset – because while everything else we do in our operation can be replicated by our competitors, it is our people that truly set us apart. We are firm believers in celebrating the differences and diversity of thought our people bring to their roles. We encourage candidates from diverse backgrounds, including those with a disability, additional health and mental health needs, and/or are neurodiverse to apply for our roles.
If you have encountered any accessibility barriers and require further information or reasonable accommodations to our recruitment process, please reach out to the recruiter listed on this job advert so they are able to support you to freely participate equitably in our recruitment and selection process.
Whāia te pae tawhiti kia tata. Ko te pae tata whakamaua, kia tina.
"Seek to bring distant horizons closer. Once near, seize them and make them your reality."
Skills Required
- 5+ years of experience in analytics engineering, AI, BI development, data warehousing, or a related data role
- Experience delivering complex analytical solutions in an enterprise environment
- Experience designing scalable data models, data marts, or semantic layers
- Experience leading technical solution design across multiple data sources and stakeholder groups
- Working knowledge of AI-ready data design, governance, evaluation approaches, and delivery frameworks
- Knowledge of data patterns supporting AI, machine learning, and generative AI use cases
- Experience partnering with business leaders and subject matter experts to shape roadmaps and prioritize opportunities
- Ability to translate ambiguous problems into actionable analytics initiatives
- Coaching, mentoring, and peer leadership capability
- Excellent stakeholder engagement, facilitation, and influencing skills across business and technology groups
What We Do
Kia Ora, Ni Hao, Gidday, konnichiwa, Talofa, Bula, Hello and Welcome to Air New Zealand, your journey starts here. Air New Zealand is one of the world's leading airlines, known around the world, not just for our name and our innovation but also for our reputation. We are recognised as "New Zealand's Most Reputable Organisation" for our strong leadership, customer service orientation, innovation, brand, corporate values, and our role as a strong ambassador for New Zealand. Each year we make sure our passengers who fly to, from and within New Zealand enjoy our uniquely Kiwi way of doing things. At Air New Zealand, we are all about people. Ambitious, helpful, proud, down-to-earth, caring people, who look after the needs of more than 13 million people every year. We look at ways of making the experience better for our customers and allowing people to experience our New Zealand. Our people drive us to be among the world's best, frequently winning awards in all aspects of our operations, testament to the Air New Zealanders living this culture daily, in the way they deliver customer experience. Whilst it's led from the top, it is delivered by thousands of people, constantly doing things that make a big difference!
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