Digital Performance Marketing Analyst

Kia ora!

Air New Zealand is in the midst of an exciting and ambitious marketing transformation. With recent investments in next-generation platforms like Hightouch for real-time customer data activation and Braze to enable personalised, cross-channel communications, we're fundamentally reimagining how we connect with our customers powered by data, insight and intelligent automation.   

As we evolve, AI and advanced analytics will play a pivotal role in how we optimise customer journeys, automate decisioning and unlock value at every touchpoint. We’re building a future-ready Marketing function grounded in enterprise data, experimentation and scalable activation - and we’re looking for analytical thinkers who are excited to work at the intersection of customer behaviour, technology and performance.  

If you’re passionate about customer experience, motivated by solving complex data challenges and energised by translating insight into real-world impact, all while working alongside a fun, driven and slightly quirky team of highly talented humans - we’d love to have you onboard.  

What this role means to us: 

In this role, you will operate as a Digital Performance Marketing Analyst (Brand and Marketing Specialist), embedded within the “Customer Touchpoints” Tribe, where you will lead the development and execution of advanced, data-driven digital marketing strategies that directly support Air New Zealand’s post-booking and pre-travel customer journeys.  

You will work at the intersection of behavioural analytics, marketing technology and customer centric marketing, using data to inform strategy, optimise performance (largely across our owned and direct channels) and enable more personalised and effective customer communications.   

This is a highly technical role, requiring a curious mindset, strong SQL skills and confidence working with large enterprise datasets and marketing platforms. You will work closely with Analytics Engineering, Martech and other crafts / squads to develop the audience and channel strategy and perform deep-dive analysis, translating insights into clear recommendations and actions.   

Skills & Experience:  

• 7+ years’ experience in customer, digital or marketing analytics within a complex enterprise environment.  
• Advanced SQL capability, with strong hands-on experience in Snowflake or comparable cloud data warehouses.  
• Experience working with large, event-level datasets to drive segmentation, automation and performance optimisation.  
• Proven experience enabling marketing automation, personalisation and experimentation across communication platforms (e.g. Braze), CDPs (e.g. Hightouch), analytics and experimentation tools (e.g. Google Analytics, Optimizely), and modern data ecosystems (e.g. Snowflake, BigQuery, dbt).  
• Strong understanding of data modelling for activation, measurement and scalable design.  
• Experience designing or supporting structured experimentation frameworks (A/B testing, test-and-learn).  
• Demonstrated ability to translate complex analysis into clear, commercially grounded insights and recommendations.  
• Experience partnering cross-functionally with Marketing, Martech and Data teams.  
• Proven ability to influence without authority and act as a senior analytical voice within a squad or tribe.  
• Solid understanding of customer data governance, privacy and data protection regulations.  

  Desirable:  

• Familiarity with AI applications in marketing automation, next-best-action models or customer intelligence platforms.  
• Experience working in Agile delivery environments or scaled enterprise marketing squads.  

Attributes:

• High attention to data quality, integrity and scalable design.  
• Strong team player and collaborator  
• Strong communicator and influencer   
• Ability to communicate effectively across technical and non-technical audiences  
• Curious, proactive and comfortable operating in ambiguity  
• Passionate about improving end-to-end customer experiences through data  

Please submit an updated resume (cover letter not required) indicating your reason for applying and how your skills and experience match the role requirements. 

Applications close 27/02/2026.