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Data Analytics Leader

1 week ago

Auckland, Auckland, New Zealand Avature Full time

About Us

Fonterra is a Co-operative created and owned by Aotearoa New Zealand dairy farmers. Our commitment to caring for the land, our animals, and every drop of milk has enabled us to share the goodness of our dairy with the world.

We strive to be a leader in dairy sustainability, innovation, and science, with a focus on New Zealand milk. Our Finance Data Services (FDS) team plays a crucial role in this vision, aiming to augment every commercial decision with Co-Op AI.

The Opportunity

You will lead a talented team responsible for creating and managing Finance data products that drive both immediate business outcomes and long-term AI-driven strategies. Reporting to the GM Data Services, you'll play a key role in shaping our Finance data platform, providing stakeholders with actionable insights, and delivering innovative data solutions.

Key Accountabilities

  • Build and enhance our data product platform, databases, and modelling tools to meet business needs.
  • Manage technical relationships with internal and external stakeholders to ensure seamless data integration and support.
  • Lead and develop the Data Analytics team, fostering a culture of continuous learning and growth.
  • Create roadmaps for data infrastructure and drive the evolution of data products into advanced AI, decision modelling, and simulations.
  • Oversee the pipeline of data requests and deliver analytics solutions in collaboration with Fonterra's Data & AI teams.

About You

You are a data-driven leader with a passion for finance and technology. With strong technical expertise and the ability to manage cross-functional relationships, you are adept at balancing long-term strategic goals with day-to-day operational demands.

Requirements

  • Advanced tertiary qualifications in Computer Science, Information Systems, or Statistics.
  • Hands-on expertise in SQL, with substantial working knowledge of Scala, Python, and R.
  • Mandatory certifications in MS Azure Fundamentals and MS Azure Data Fundamentals.
  • Experience in data engineering, with a proven track record of delivering advanced analytics solutions and data products on cloud platforms.
  • Proficiency in using Jira and Confluence for project management and collaboration.