Data Specialist

Data & Analytics

Analytics Manager

Wellington

Permanent

Dan Buchanan
Dan Buchanan

Co-Founder

Posted

March 9, 2026

  • First dedicated data hire with real ownership and influence
  • Build modern AWS data pipelines and analytics capabilities
  • Opportunity to explore future AI and machine learning initiatives
Our client operates one of New Zealand’s leading digital platforms supporting schools and families. Their technology simplifies payments, commerce, and administration for hundreds of schools and hundreds of thousands of users nationwide.

With strong product-market fit and recent investment backing their next stage of growth, the company is expanding its platform, improving reporting capabilities, and building smarter automation to better support schools and communities.

The Role
This is a foundational data role with significant ownership and influence.
As the company’s first dedicated Data Specialist, you’ll design and build the organisation’s data infrastructure from the ground up. You’ll create pipelines, structure datasets, and deliver dashboards that support product, commercial, and leadership decision-making.

You’ll also work closely with stakeholders across the business, translating questions into actionable insights while helping shape future capabilities including AI and machine learning.

Skills & Experience
  • Strong experience in data engineering or analytics engineering roles
  • Advanced SQL skills and experience working with large datasets
  • Experience building data pipelines (ideally with AWS Glue, Athena, and S3)
  • Experience developing dashboards and reporting (ideally using AWS QuickSight)
  • Ability to translate business requirements into scalable data models
  • Strong communication skills and comfort working with stakeholders across the business
  • Bonus: exposure to GenAI, machine learning, or building data teams
Why Work Here?
  • Be the first dedicated data hire with true ownership of the data function
  • Work closely with product, leadership, and commercial teams
  • Help shape how a growing technology company uses data
  • Opportunity to introduce AI and machine learning initiatives
  • Modern cloud-based data stack using AWS technologies
  • Clear path to grow and eventually build a data team

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