ABOUT THE COMPANY
EROAD is a global fleet management technology company, listed on both the NZX and ASX, helping fleet operators run safer and more compliant operations through its integrated hardware and software platform. As EROAD modernises its reporting platform, it's hiring a BI Engineer (Semantic Modelling & Reporting) to help shape the next generation of its analytics capability.
WHAT YOU'LL DO
You'll own the modelling layer that turns curated data into trusted, reusable analytical assets across the business.
- Design and build dimensional and semantic models, including star schemas, fact and dimension tables, and conformed and slowly changing dimensions
- Shape the Gold-layer, last-mile data models that power enterprise reporting and analytics
- Write and optimise SQL across varied data formats to support modelling and reporting needs
- Build and maintain Git-based workflows and CI/CD pipelines for BI development
- Partner with technical and non-technical stakeholders to refine requirements and translate them into reliable data models
- Work alongside data engineers, analytics specialists, cloud developers and product managers as part of a pragmatic, agile analytics team
- Report to the Chapter Lead – Analytics and contribute to the broader modernisation of EROAD's BI tooling and platform
WHAT YOU NEED
Here's what you'll bring to the team.
- A solid Business Intelligence background with 5+ years in BI engineering, analytics engineering, data warehousing or a similar analytical modelling role
- Hands-on experience designing and delivering dimensional and semantic models for enterprise reporting and analytics
- Strong SQL skills, including query optimisation and working with varied data formats
- Familiarity with Git-based workflows and CI/CD
- Exposure to data engineering concepts
- Confidence partnering with both technical and non-technical stakeholders to refine requirements and deliver business value
- Any cloud data warehouse background works well here, Snowflake, Redshift, BigQuery or Synapse are all welcome
- A transformation tool such as dbt is a plus, or equivalent depth in dimensional and semantic modelling
- Comfortable working in a reporting or BI tool such as Power BI, since modelling skill matters more than the specific platform
WHY JOIN
- This is a chance to shape the semantic modelling foundation of a platform modernisation effort at a listed, high-growth tech company.
- Influence how EROAD's BI platform and tooling evolve as the team modernises its reporting stack
- Work alongside a talented, collaborative team of data engineers, analytics specialists, cloud developers and product managers
- Be part of a true Kiwi success story, publicly listed on the NZX and ASX and growing across New Zealand, Australia, the Philippines and the USA
- Join a multicultural organisation that invests in continuous learning, EAP support and AI tooling to help its people grow.
Skills Required
- 5+ years of experience in BI engineering, analytics engineering, data warehousing, or a similar analytical modelling role
- Experience designing and delivering dimensional and semantic models for enterprise reporting and analytics
- Strong SQL skills, including query optimization and working with varied data formats
- Familiarity with Git-based workflows and CI/CD
- Exposure to data engineering concepts
- Ability to partner with technical and non-technical stakeholders to refine requirements and deliver business value
- Experience with a cloud data warehouse such as Snowflake, Redshift, BigQuery, or Synapse
- Experience with a transformation tool such as dbt or equivalent dimensional and semantic modelling expertise
- Comfort working with a reporting or BI tool such as Power BI
What We Do
EROAD develops technology solutions (products and services) that manage vehicle fleets, support regulatory compliance, improve driver safety and reduce the costs associated with driving. EROAD believes that every community deserves safer roads and the people who use the roads should influence the design, management and funding of transport networks.
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