Supply Chain Data & Systems Analyst
New Zealand, AucklandFull-TimeMid-levelAnalyst
Skills
Data, Reporting & Analytics Enablement
- Build, maintain, and enhance Power BI dashboards for logistics and supply chain reporting.
- Support in enabling detailed analysis of logistics costs, trends, inefficiencies, and performance drivers through high-quality data and dashboards.
- Ensure reporting outputs are accurate, reliable, and clearly documented.
- Support data validation, cleaning, and structuring activities in collaboration with Data Engineers.
- Help maintain consistent data definitions and reporting logic across regions and 3PLs.
Business Intelligence & Visualisation
- Develop reports and visualisations to improve transparency across logistics costs, supplier performance, and fulfilment metrics.
- Translate business reporting requirements into clear, usable dashboards and outputs.
- Support ongoing improvements to KPI reporting used across the business.
Systems & project Support
- Coordinate systems-related projects across Supply Chain and Logistics (e.g. order management tools, API integrations with 3PLs).
- Assist with documenting system requirements, workflows, and process changes.
- Ensure systems and tools align with reporting and data requirements.
Commercial Analysis & Cost-Modelling
- Build and maintain Excel-based cost models to support RFQs, tenders, and business cases.
- Assist with freight, warehousing, and 3PL cost comparisons.
- Provide analytical support to Commercial and BD teams as required.
Stakeholder Collaboration
- Work cross-functionally with Supply Chain, Logistics, Finance, Commercial, Sales, Marketing, and external partners.
- Communicate analytical outputs and project updates clearly to stakeholders.
- Support ongoing data and reporting requests across the business.
Skills & Experience
- Experience in data analysis and business intelligence, ideally within Supply Chain, Logistics, or Operations.
- Strong capability in Power BI (dashboard development and reporting).
- Working knowledge of SQL and structured datasets.
- Strong Excel skills, including analytical models and cost analysis.
- Experience supporting reporting, analysis, or systems-related projects.
- Understanding of logistics operations and cost drivers is an advantage.
- Clear communication skills and ability to work with non-technical stakeholders.
