Procurement Data Analyst (Hybrid)

Fonterra; Waikato; Hybrid; NZD 100,000 - 140,000; Full time

Benefits offered by this job

Health & well-being programs

Professional development

Career growth support

Flexible/hybrid working

Employee recognition

Community involvement and cultural 연결

Job summary

Fonterra is seeking a data and analytics professional to join our Procurement team in New Zealand. Reporting to the Data & Analytics Manager, you will leverage data, systems, and emerging technologies to help drive smarter decision-making, optimize processes, and deliver value across the function.

You will collaborate with stakeholders across Procurement to understand challenges, translate them into practical data solutions, and work with data teams to implement AI-enabled insights that support

Qualifications

• Around 5 years' experience in business or data analysis roles, ideally on complex projects or programmes in large organisations.
• Strong communication, collaboration, and stakeholder engagement skills, with resilience, adaptability, and a commitment to accountability and helping others grow
• Proven experience optimising systems and processes, and managing requirements and constraints across the delivery lifecycle
• Working knowledge of data analytics reporting, design, and data quality, with exposure to data platforms and engineering tools
• A strategic, results-focused mindset, with the ability to understand complex requirements to develop fit-for-purpose analytics solutions

Skills

Analytical thinking

Stakeholder engagement

Communication skills

Business partnering

Problem solving

Tools

SAP

Job description

Fonterra is seeking a data and analytics professional to join our Procurement team in New Zealand. Reporting to the Data & Analytics Manager, you will leverage data, systems, and emerging technologies to help drive smarter decision-making, optimize processes, and deliver value across the function.

You will collaborate with stakeholders across Procurement to understand challenges, translate them into practical data solutions, and work with data teams to implement AI-enabled insights that support