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Actively hiring, first seen by us 9 hours agoActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
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Day 0
Early. Similar jobs usually come down between day 7 and day 51.
From 1,627 similar postings that came down. Coming down is not always a hire.
7 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.
- Relevant experience in analytics engineering, data warehousing, ETL/ELT development, or data modelling - Strong SQL and Python skills, including the development, optimisation, testing, and productionisation of analytical data models - Experience designing, developing, and maintaining data warehouses or other structured data environments
Complete your application on careers.asbgroup.co.nz. The employer’s form will show what is required.
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New Analytics Engineer postings at the employers we follow are down 14% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
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.
Senior Analytics Engineer
Kia ora, Talofa lava, Mālō e lelei, Namaste, Ni hao, Bonjour!
At ASB, we’re all about doing what we can to help our customers get one step ahead. Our purpose guides everything we do, and our Data & Analytics teams play a critical role in delivering better outcomes for our customers and our business.
Our Auckland based Data & Analytics Practice is growing. We’re looking for talented Senior Analytics Engineers to join our team in Auckland.
Te tūranga | The role
As a Senior Analytics Engineer, you’ll be responsible for transforming raw data into clean, modelled, and trusted data products that power data processes, analytics, and decision-making across ASB.
Working within a collaborative, agile environment, you’ll contribute to the development of scalable analytical data models and structured data environments, while partnering with business stakeholders to understand their data needs and deliver against business goals. You'll also have the opportunity to influence how we work, identifying opportunities to automate, simplify and standardise our analytics engineering practices.
Ngā mea ka mahia e koe | What you’ll do
In this role, you will:
Ō pūkenga | About you
We’re looking for someone with strong technical capability and experience, a collaborative mindset, and understanding of modern data environments:
You don’t need experience in every area listed. Above all, you’ll be curious, collaborative and customer focused. If you believe you have some of the experience mentioned above, we encourage you to apply.
Ō mātou uara | Our values:
At ASB, we live our values every day:
Caring | Courage | Curiosity
These guide how we work together, support our customers, and deliver great outcomes.
He aha tā mātou | What we offer?
Me pēhea te tono | How to apply
If you’re passionate about building trusted analytical data products and want to make a meaningful impact at ASB, we’d love to hear from you.
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