Digital Transformation & AI Analytics Lead

Ventia; Auckland; On-site; NZD 90,000 - 120,000; Full time

Benefits offered by this job

Health Insurance

Vehicle

Job summary

Ventia in Auckland City, NZ, is seeking a Systems & Data Analyst to join on-site for a permanent role focused on data, systems, automation, and AI-driven improvements.

You will lead readiness for the Novus system, translate operational challenges into scalable digital solutions, and work with cross-functional teams to deliver change. The role emphasizes dashboards, insights, and continuous improvement through data and technology.

Qualifications

• Strong data analysis and advanced Excel skills.
• Experience working with business systems, reporting tools, or data migrations.
• Interest in AI, automation, and emerging technologies.
• Ability to translate operational challenges into practical digital solutions.
• Strong stakeholder engagement and project coordination skills.

Responsibilities

• Lead business readiness for the Novus system implementation.
• Transform business processes into scalable digital solutions.
• Drive data migration, validation, reconciliation, and reporting readiness.
• Identify opportunities to automate workflows and reduce manual effort.
• Partner with operations, finance, commercial, and technical teams to deliver change.
• Develop dashboards, insights, and AI-enabled reporting solutions.
• Coordinate UAT, training, go-live, and hypercare activities.
• Champion continuous improvement through data and technology.

Skills

Data analysis

Excel

Power BI

SAP

Novus

Tools

Power BI

SAP

Novus

Job description

Ventia in Auckland City, NZ, is seeking a Systems & Data Analyst to join on-site for a permanent role focused on data, systems, automation, and AI-driven improvements.

You will lead readiness for the Novus system, translate operational challenges into scalable digital solutions, and work with cross-functional teams to deliver change. The role emphasizes dashboards, insights, and continuous improvement through data and technology.