BI Analyst: Real-Time Data, AI Tools & Growth Path

Digital Garage; Auckland; Sur place; NZD 70 000 - 100 000; Plein temps

Avantages offerts par ce poste

Free on-site parking

Employee share purchase programme

On-site coffee cart and Friday drinks

Direct pathways into senior analytical

Dedicated support to learn Microsoft/

Résumé du poste

Digital Garage in New Zealand is seeking an intermediate Business Intelligence Analyst to transform live freight and commercial data into reliable, actionable reporting. You will write and optimise SQL queries, design Power BI reports, and help migrate from SSRS to Microsoft Fabric data pipelines while building semantic data models.

Working in a small analytics team, you’ll collaborate with stakeholders to define requirements, deliver practical data products, and upskill with AI tools and Fabric

Qualifications

• Strong working knowledge of SQL and data querying.
• Experience designing and developing Power BI reports for business users.
• Interest in logistics/fast-moving sectors and operational metrics.
• Willingness to learn cloud analytics platforms like Microsoft Fabric and applied AI tools.

Responsabilités

• Write and optimise SQL queries to access live operational data.
• Design clean, intuitive Power BI reports to track revenue, margin, and performance.
• Support migration from SSRS to Microsoft Fabric data pipelines and reusable models.
• Assist with semantic layers and stored procedures for future AI interfaces.
• Collaborate with stakeholders to gather requirements and drive report adoption.

Connaissances

SQL

Power BI

Data storytelling

Stakeholder communication

Outils

Microsoft Fabric

Description du poste

Digital Garage in New Zealand is seeking an intermediate Business Intelligence Analyst to transform live freight and commercial data into reliable, actionable reporting. You will write and optimise SQL queries, design Power BI reports, and help migrate from SSRS to Microsoft Fabric data pipelines while building semantic data models.

Working in a small analytics team, you’ll collaborate with stakeholders to define requirements, deliver practical data products, and upskill with AI tools and Fabric