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Day 37
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Auckland (Albany HQ) (NZ)
Live, first seen by us 37 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Own Power BI standards and governance across reports, dashboards and semantic models
Build and maintain dbt transformation pipelines
Build AI agents on Snowflake Cortex and CoWork
Coach business users on self-service analytics tools and best practice
Translate stakeholder needs into practical data and AI solutions
Own Power BI standards and governance across the business
Build and maintain dbt transformation pipelines that keep data reliable and ready for use
Build AI agents on Snowflake Cortex and CoWork to support new automation and analytics use cases
Act as an internal evangelist for self-service analytics, coaching business users on tools and best practice
Partner with stakeholders across the business to translate their needs into practical data and AI solutions
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 37
Similar jobs usually come down between day 6 and day 47.
From 1,409 similar postings that came down. Coming down is not always a hire.
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Experience developing reports, dashboards and semantic models in Power BI, or experience with another leading BI tool (e.g. Looker, Tableau) with the aptitude to become the internal Power BI SME - Strong SQL skills and experience with modern cloud data platforms - Experience with Snowflake and data warehousing concepts, or another modern cloud data warehouse (e.g. BigQuery, Redshift, Synapse) alongside strong data warehousing and dbt experience
- Strong SQL skills and experience with modern cloud data platforms - Experience with Snowflake and data warehousing concepts, or another modern cloud data warehouse (e.g. BigQuery, Redshift, Synapse) alongside strong data warehousing and dbt experience - Experience building and maintaining dbt models and transformation pipelines
- Own Power BI standards and governance across the business, shaping how reports, dashboards and semantic models are built - Build and maintain dbt transformation pipelines that keep data reliable and ready for use - Build AI agents on Snowflake Cortex and CoWork to support new automation and analytics use cases
- Experience with Snowflake and data warehousing concepts, or another modern cloud data warehouse (e.g. BigQuery, Redshift, Synapse) alongside strong data warehousing and dbt experience - Experience building and maintaining dbt models and transformation pipelines - Ability to communicate technical concepts clearly to non-technical audiences
WHAT YOU NEED You'll bring a mix of analytics, data engineering and consulting skills, with room to grow into the AI side of the role. - Experience developing reports, dashboards and semantic models in Power BI, or experience with another leading BI tool (e.g. Looker, Tableau) with the aptitude to become the internal Power BI SME - Strong SQL skills and experience with modern cloud data platforms
WHAT YOU'LL DO This role blends hands-on data engineering with internal consulting, coaching business users while building the tools they rely on. - Own Power BI standards and governance across the business, shaping how reports, dashboards and semantic models are built - Build and maintain dbt transformation pipelines that keep data reliable and ready for use
- Strong analytical and problem-solving ability WHY JOIN You'll get real ownership of Power BI standards and hands-on AI agent building, backed by a company that invests in its people. - Genuine scope to build AI agents and shape how the business adopts generative AI and automation, no prior Snowflake Cortex/CoWork/CoCo experience required
- Build and maintain dbt transformation pipelines that keep data reliable and ready for use - Build AI agents on Snowflake Cortex and CoWork to support new automation and analytics use cases - Act as an internal evangelist for self-service analytics, coaching business users on tools and best practice
WHY JOIN You'll get real ownership of Power BI standards and hands-on AI agent building, backed by a company that invests in its people. - Genuine scope to build AI agents and shape how the business adopts generative AI and automation, no prior Snowflake Cortex/CoWork/CoCo experience required - Be part of a high-growth, innovative technology company making a real difference at a global level
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We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
ABOUT THE COMPANY
EROAD is a global fleet management technology company, providing GPS tracking, compliance automation and driver safety solutions to fleet operators across New Zealand, Australia and North America. As the business continues to invest in AI and analytics capability, we're hiring a Data & AI Consultant to help drive that work forward.
WHAT YOU'LL DO
This role blends hands-on data engineering with internal consulting, coaching business users while building the tools they rely on.
WHAT YOU NEED
You'll bring a mix of analytics, data engineering and consulting skills, with room to grow into the AI side of the role.
WHY JOIN
You'll get real ownership of Power BI standards and hands-on AI agent building, backed by a company that invests in its people.
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Auckland (Albany HQ) (NZ)
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