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Data Analyst - Guidance

Halter
CompanyHalter
CategoryData & Analytics
LocationAuckland
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted22 Jul 2026
Last verified30 Jul 2026
SourceEmployer career page (ashby)
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Description
ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. At Halter, we're building world-class virtual fencing technology that transforms the way farmers and ranchers work. We tackle complex, real-world problems with technical solutions, helping farmers lift productivity, care for their animals, and farm more sustainably. We're looking for a Data Analyst to join our virtual fencing research and development team. This is a great role for someone who's passionate about data, loves to fully understand their domain, and thrives on problem solving. This role is more than a typical data analyst role and extends beyond analysis in many ways. You'll become an expert in virtual fencing, understanding the technology inside out and how animals interact with it. You’ll extend into data engineering, work close to (maybe even in) the backend, so we're after someone keen to push the boundaries of what a data analyst role can be. This role will be based at our Auckland HQ and will sometimes require travel to our R&D farm in Morrinsville. ABOUT THE ROLE You’ll work as part of a small focused R&D team that is continuously improving the way we virtually fence and shift animals across the globe. You’ll spend plenty of time writing queries and crunching the numbers at HQ, but you’ll also be out on the farm observing cows and building your understanding of animal behavior and our product. Together with our other Data Analyst in the team you’ll own the guidance data domain. You’ll provide insights, run trials and proactively identify opportunities for improvement. You'll work with both internal and external partners to enable and support research into the virtual fencing domain. - You're highly curious and thrive on solving hard problems. You're not afraid to ask questions, think outside the box, and go beyond the scope of what's been asked to make sure your analysis is comprehensive. - You have strong analytical and statistical skills, with a good awareness of common statistical traps that can introduce bias. You bring scientific rigour and accuracy to your work, and you're able to sniff out inconsistencies in data and follow them through to root causes. - You're comfortable using a variety of tools (e.g. SQL, Python, R) to query, analyse
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