Analytics Engineer

About the Role

Join the University of Waikato as an Analytics Engineer to help develop a trusted enterprise data platform using Databricks, shaping analytics to support smarter decision-making and transforming reporting utilizing AI-driven methods.

This pivotal role merges data engineering, analytics, and business analysis responsibilities: translating raw source data into reliable, well-structured, and business-ready datasets. Collaborate with university stakeholders to capture reporting and insight requirements, define business entities and measures, and convert these into canonical and dimensional data models.

You will build a governed semantic layer underpinning Power BI, Databricks dashboards, and natural language analytics systems such as Genie. A key focus includes migrating legacy data warehouse reports onto the modern platform, redesigning data models and logic to current standards ensuring accuracy, thorough documentation, and trustworthiness.

Key Responsibilities

• Construct and enhance a new enterprise data platform based on Databricks technology.
• Develop dependable datasets for reporting and AI applications.
• Modernize analytics capabilities incorporating AI tools and agentic workflows.
• Engage with stakeholders to harmonize data definitions and maintain semantic data governance.
• Rebuild legacy reporting logic with improved standards for consistency and reliability.

Qualifications and Experience

• Minimum of three years in analytics engineering, BI development, data modelling, business analysis, or related analytical roles.
• Proficient in SQL and expert understanding of dimensional modelling principles such as facts, dimensions, and star schemas.
• Experience in constructing semantic data models or governed metrics within platforms like Power BI.
• Familiarity with DataOps methodologies including version control and code promotion workflows.
• Strong communication skills to work effectively with both technical and non-technical stakeholders, especially in requirements gathering and data concept articulation.
• Adoption and practical experience with AI-augmented development tools.

Additional desirable skills include Databricks, Microsoft Fabric or Snowflake familiarity, layered or Medallion architecture knowledge, Python programming, data testing and governance expertise, natural-language analytics experience, and AI-powered BI tools such as Databricks Genie.

Experience in designing or implementing agentic workflows or holding relevant industry certifications would also be advantageous.

About Us

This position offers a unique chance to lead the establishment of a modern enterprise data function at the University of Waikato. Your work will support trusted data models, managed metrics, and business context that will be reused widely for reporting, analytics, and emerging AI initiatives.

The role is part of the Information Technology Services (ITS) team, which guides the University’s digital strategy, manages its digital infrastructure, and supports educational, research, and operational success through secure and sustainable technology.

The University is committed to inclusiveness, community engagement, Indigenous knowledge respect, and research excellence.

Why Apply?

The University of Waikato is proud of its global presence as a provider of innovative education and impactful research. Working here ensures a rewarding environment and numerous benefits.

Diversity is a hallmark of the University, welcoming candidates from varied backgrounds who hold the right to live and work in New Zealand per immigration laws.

Additional Information

• Position based in Hamilton, Waikato, New Zealand.
• Full-time role, 37.5 hours per week.
• Salary to be offered commensurate with skills and experience.
• Applications close Sunday, November 1, 2026.