Business Analyst - Data & AI

Fonterra; Auckland; Hybrid; NZD 90,000 - 120,000; Full time

Benefits offered by this job

Health benefits

Flexible/hybrid work

Recognition programs

Community involvement

Job summary

Fonterra invites a technically capable, delivery-focused Business Analyst to join our Data & AI team. You will translate complex Finance needs into practical data solutions, guiding end-to-end delivery across data engineering, testing and visualization within a modern cloud environment (Azure, Databricks, Power BI).

You’ll collaborate with Finance, Data & AI and technology teams, shaping requirements, prioritising work, and ensuring reliable, well-documented data solutions with strong handover

Qualifications

• Strong SQL and Python skills with a cloud/Data Platform background.
• Experience in data modelling, testing, CI/CD and release practices.
• Working knowledge of Power BI, data lineage and data cataloguing.

Responsibilities

• Translate business demand into clear technical requirements and delivery plans.
• Manage end-to-end data & analytics delivery across data engineering, testing and visualization.
• Support metadata, documentation and data catalogues and ensure smooth business handover.

Skills

SQL

Python

Data modelling

CI/CD

Power BI

Data cataloguing

Education

Bachelor's degree in a relevant field

Tools

Azure

Databricks

ETL/ELT pipelines

Job description

At Fonterra Te Mātāpuna, we want everyone to feel they can be themselves.

Whether you're early in your career or ready for your next step, Fonterra offers a unique opportunity to grow with a global dairy co-operative that values care, collaboration, and contribution.

Owned by New Zealand dairy farmers and supported by a dedicated team, we are all working together to create a better future. Imagine tomorrow with us, where your career can grow, and you can create positive change.

About the Opportunity | Mō tēnei tūranga

We have an exciting opportunity for a technically capable, delivery-focused Business Analyst to join our Data & AI team, helping turn complex Finance needs into practical, high-quality data and analytics solutions.

Working across Finance, Data & AI and technology teams, you’ll translate business demand into clear technical requirements and coordinated delivery plans. You’ll help manage end-to-end delivery across Data Engineering, Testing and Visualisation, supporting planning, prioritisation, testing, release and handover while keeping dependencies and competing priorities on track.

You’ll also support the documentation, metadata and data catalogues needed to ensure solutions are well understood, supportable and ready for business handover, while identifying opportunities to improve reliability, automation and delivery efficiency.

Operating in a modern cloud data environment, you’ll work with technologies including Azure, Databricks and Power BI, with the opportunity to explore how AI and emerging technologies can improve the way data and analytics solutions are delivered.

You’ll bring a strong combination of technical understanding, delivery capability and practical problem-solving. You may come from a technical Business Analyst, data engineering, analytics or technology delivery background, with the ability to turn complex requirements into clear actions for technical teams.

You’ll also bring:

• Strong SQL and working knowledge of Python, with experience across modern cloud and data environments, ideally including Azure, Databricks and ETL/ELT pipelines.
• Experience across data modelling, testing, CI/CD and release practices, with the judgement to navigate priorities and keep delivery moving.
• Working knowledge of Power BI, metadata, data lineage and cataloguing, with a focus on quality and effective handover.
• A confident communication style, with the ability to ask the right questions, challenge assumptions and build trusted relationships across business and technical teams.

You’ll bring a curious, continuous-improvement mindset and an interest in emerging technologies, including Generative AI and LLMs. Most importantly, you’ll bring a practical delivery focus and the curiosity to keep looking for smarter, more effective ways of working.

At Fonterra, our values of Good Together, Better Every Day, and Every Drop Counts, are for everyone - no matter your background, identify or experience. These values guide us in delivering exceptional outcomes for our farmers, customers, communities, and each other. Discover how your values align with ours by taking our [1] Values Quiz

We care for our people globally. Our comprehensive benefits support your well-being, development, and work-life balance:

• Fair and equitable pay
• Health and well-being programs (medical, mental health support)
• Work-life balance options (flexible/hybrid working where possible)
• Employee recognition
• Support for community involvement and cultural connection

To learn more, visit [2] Fonterra Careers

A Career of Opportunities | Ngā Mahi

At Fonterra, we are inspired by purpose and guided by our principles and values. Together, we create goodness for generations and make a global impact at a local level. As part of our Co-operative, you are an everyday creator, imagining what Fonterra, dairy, and you can be here.

Does this sound good to you? Come join our whānau - bring your whole self, and let's solve for better together.

Together, we're shaping a future of inclusion | He Wāhi mō te Katoa

Inclusion is key to our Co-operative. We're building a team that reflects the diverse world we live in, believing it drives better decisions and innovation.

We welcome applications from all backgrounds (ethnicities, genders, identities, orientations, ages, abilities, neurotypes, cultures, religions).

Even if you don't meet every requirement listed, we encourage you to apply; we value your potential and growth.

If you face accessibility issues or need accommodations during the process, please contact your recruiter. We ensure fair participation, allowing you to be at your best. Tātou, tātou.

Applications close at midnight on Tuesday 17th November