Data and Business Intelligence Analyst (9 month fixed term)
We have an exciting opportunity for a Data & Business Intelligence Analyst to join our Data, Research and Insights team, proving maternity leave cover for the next 9 months on a fixed term contract. This role supports the design, build and maintenance of reporting and analytics solutions across the business, helping teams turn data into clear, actionable insight.
Working closely with stakeholders in across teams such as Ad Sales, Insights and Commercial teams, you’ll translate business requirements into robust data models, dashboards and reporting outputs that support confident decision making.
This role is ideal for someone who enjoys the full analytics lifecycle — from working with raw data in the warehouse, to modelling it cleanly, validating accuracy, and presenting it in a way that helps the business make better decisions. As part of the wider Research, Data & Insights team, you’ll contribute to reliable, effective reporting and self-service analytics capability across Rangiata Sky.
Due to the breadth of teams and stakeholders you’ll collaborating with, being flexible to work across both of our Auckland offices (CBD and Mt Wellington) is required.
Requirements
- Write efficient, well-structured SQL to extract, transform and validate data from source systems.
- Develop and maintain interactive Power BI dashboards and reports, including data models, DAX measures and visualisations tailored to stakeholder needs.
- Partner with business stakeholders to gather requirements and translate them into clear technical specifications.
- Ensure data accuracy, consistency and integrity across reporting outputs, troubleshooting and resolving data quality issues as needed.
- Support UAT processes for new or updated dashboards, incorporating stakeholder feedback ahead of sign-off and production release.
- Maintain clear documentation of data models, ETL/ELT pipelines and reporting logic.
- Identify opportunities to improve reporting efficiency, automate manual processes and enhance self-service analytics capability.
- Collaborate with engineering teams on data pipeline and schema changes required to support new reporting requirements.
- Advise on appropriate use of data visualisation tools and techniques for different purposes and contexts.
- Work with the Business Intelligence Manager to identify opportunities for leveraging company data to drive business solutions.
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