Senior Analytics Engineer

Trade Me Limited; Auckland; Sur place; NZD 140 000 - 190 000; Plein temps

Avantages offerts par ce poste

AI skilling

Flexibility & utilities allowance

Wellness resources

Wellness leave

Social events

Learning & internal mobility

Résumé du poste

Trade Me Limited, a Kiwi tech company, seeks an experienced Analytics Engineer to own end‑to‑end data quality for the new platform. You’ll model data with a business lens, validate reports in Snowflake, and build dbt models alongside analytics engineers.

You’ll influence multiple squads, collaborate with platform engineers and Technical Product Owners, and explore event‑driven data opportunities to unlock new value. AI‑driven development with Claude Code is encouraged.

Qualifications

• 5+ years in analytics engineering or a related role with direct collaboration with software engineering teams.
• Strong hands-on dbt and SQL-first dimensional modelling, plus data verification in Snowflake.
• Experience with event-driven or product-generated data and how changes affect metrics and reporting.
• Proven track record owning data quality or testing outcomes across teams, including test scenarios and verification.
• Experience in business-facing insights or analytics, partnering with stakeholders on metrics and reporting.
• Strong insights instinct and a quality mindset beyond technically correct data.
• Comfort working with software engineers and understanding testing in the stack.
• A self-organising doer, coordinating across squads and knowing when to pull in experts.
• Clear communication across engineers, analysts and product owners in an agile environment.
• An AI-first approach with daily use of AI-assisted development (Claude Code) and curiosity about Snowflake AI capabilities.

Responsabilités

• Own the new platform's data quality end to end, vertical by vertical.
• Bring a business and vertical lens to data modelling, collaborating with analytics and data engineers.
• Verify that reports and metrics built on data are accurate and meet business needs.
• Build and modify dbt models, working with analytics engineers on core platform models.
• Coordinate data impact assessments across squads, from test scenarios to results in Snowflake.
• Scale the method across multiple squads so it isn't dependent on one person.
• Partner early with platform engineers and Technical Product Owners to guide modelling before build.
• Identify where event-driven data can unlock value beyond legacy reporting.
• Support Technical Product Owners with insights to track rollout success.
• Learns verticals alongside Insights Analysts and share learnings.

Connaissances

dbt

SQL

Snowflake

Analytics engineering

Data quality

Testing

Stakeholder engagement

Cross-squad coordination

AI tools

Communication

Outils

Claude Code

Description du poste

At Trade Me, we're about connecting Kiwi to create the life they want. Whether it's the big things like finding a home, a job, a car or growing their business, or the smaller things, like finding that right bedside table or parting ways with some old stuff. At Trade Me our vision is to be the place where Kiwi look first.

Here Is What You Can Expect From This Role

• Own the new platform's data quality end to end, vertical by vertical.
• Bring a business and vertical lens to how the platform's data is modelled, working with analytics and data engineers
• Check that reports and metrics built on the data are accurate and give the business what it needs
• Build and change dbt models yourself, and work alongside analytics engineers on the core platform models
• Coordinate data impact assessments across squads, from agreeing test scenarios to verifying results in Snowflake
• Make the method scale across multiple squads so it doesn't depend on any one person
• Partner early with platform engineers and Technical Product Owners to guide modelling before things are built
• Identify where the platform's event-driven data can unlock new value beyond legacy reporting
• Support the platform's Technical Product Owners with insights and analysis to track rollout success
• Learn each vertical alongside our Insights Analysts and share what you learn

What You Will Bring To Our Team

• 5+ years in analytics engineering, data analytics or a related role, with material time working directly with software engineering teams
• Strong hands-on dbt and SQL-first dimensional modelling experience, and verifying data in Snowflake
• Experience with event-driven or product-generated data and how application changes flow through to metrics and reporting
• A track record owning data quality or testing outcomes across teams, including defining test scenarios and verifying results
• Experience in a business-facing insights or analytics function, partnering with stakeholders on metrics and reporting
• Strong insights instinct and a quality mindset that goes beyond technically correct data
• Comfort working with software engineers, including how they think about testing and where a check belongs in the stack
• A self-organising doer and coordinator operating at a senior level, who knows when to pull in experts and stays pragmatic about scale
• Clear communication across engineers, analysts and product owners, and experience coordinating multiple squads in an agile environment
• An AI-first way of working, using AI-assisted development (Claude Code) daily, and curiosity about Snowflake's AI capabilities

You’ll have the best time working at Trade Me, and this is why:

#AI and Tech:

We live and breathe AI in our daily tasks. We value curiosity and an open mind towards new tech, offering dedicated AI skilling to help you grow and thrive in a fast-changing landscape.

#Flexibility:

Flexibility means different things to different people and we support you to find what works, including a utilities allowance. We value team connection and come together in person on Monday and at least one other day a week.

#Wellness:

Being your best self means caring for your physical and mental wellbeing, we offer lots of resources to help you along the way.

#Leave:

We support you with leave when you need it, including 5 days of wellness leave each year and 10 days of sick leave from day 1.

#Social:

Nothing beats getting together to have some fun and celebrate our success. Join us in the office on payday for company paid lunches. Regular Friday drinks and nibbles, annual Trade Me company awards, celebrations and more.

#Learning:

Whether it's on the job, formal training, or mentoring, you'll grow with us from Day 1. We're big on internal mobility and look to our own talent first for new opportunities.

Trade Me is an INZ accredited employer. We truly value diversity and embrace a flexible workplace where people are encouraged to achieve their potential.