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分析可视化工程师

雇主

PHF Science

地点

远程 · Remote · 新西兰

待遇

NZ$面议

工作模式

远程

截止日期

1月6日

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岗位摘要

Te tūnga | The role We have a fixed-term opportunity through to 31 March 2027 for an Analytics and Visualisation Engineer to develop and support PHF Science’s public health dashboards and pipelines.

岗位职责

Te tūnga | The role
We have a fixed-term opportunity through to 31 March 2027 for an Analytics and Visualisation Engineer to develop and support PHF Science’s public health dashboards and pipelines. This will involve bringing together diverse and complex data to advance our organisation’s scientific value. You will partner with our experts across PHF Science to derive meaningful value from data.
In this role you will be involved in:
Development of scalable data ETL pipelines and API integrations to support the exploitation of diverse and complex datasets and integration with GIS enabled visualisations.
Preparing solutions for near-real time data collection, ingestion, storage and analysis.
Developing technical standards for development and deployments of analytics apps.
Contributing to requirements gathering and recommendations that align with best practices and future state design.
Identifying opportunities for continuous improvement for service delivery and solutions.
We offer flexible working options and are open to applications across anywhere in Aotearoa, including Auckland, Wellington, Christchurch.
Ngā painga | The benefits
Flexible working options to support balancing work and non-work commitments.
Four weeks annual leave, plus two additional annual leave days and three additional PHF Science days (usually the three days between Christmas and New Year’s Eve)
15 days sick leave
Annual volunteer day to support an organisation or issue you care about in the community.
Free annual flu vaccinations
Subsidised Southern Crossinsurance & access to special retail discounts.
Access to Employee Assistance Programme (EAP), a confidential and free counselling service.
Kia angitu koe | About you
To be successful in this role, you will have:
Experience in an analytics role that will enable you to complete the above tasks
A relevant tertiary qualification in Computer Science, IT, Data Engineering or related discipline.
Relevant analytical coding experience, we use R/Python/R Shiny/Tableau/PowerBI/TSQL/Snowflake
Cloud systems development experience, ideally for data science or analytics purposes and Azure
Great numerical and analytical skills.
Excellent problem solving and troubleshooting skills.
Excellent oral and written communication skills.
Cross-cultural communication skills would be desirable, but not essential.
Mō mātou | About Us
Established in 2025, formerly ESR, PHF Science is a New Zealand Government-owned research organisation dedicated to the health, wellbeing and safety of our communities. Specialising in public health and forensic sciences, we monitor disease, help ensure safe food and water, reduce harm from drugs, support the justice system and more. Our science powers innovations and solutions to help New Zealand prosper and grow.
With four locations across Aotearoa New Zealand from Auckland to Christchurch and Wellington (Kenepuru and Wallaceville), we use world-leading science to monitor disease, test food and products, safeguard our water, and support the justice sector. By joining forces with experts and iwi, we’re tackling critical issues to ensure a better Aotearoa New Zealand for all.
We are an accredited Living Wage employer and value our people, providing excellent environment for fostering and developing our people in a values-driven, flexible, and ever evolving landscape. We are committed to sustainability and are proud to have received our Toitū Carbonreduce Certification.
Tono mai | Apply Now
We encourage applications from those with an understanding of or a willingness to develop their capability in Te Tiriti o Waitangi, tikanga Māori, and/or te reo Māori.
If you would like to request a full position description, please get in touch with
Applications close 12pm Friday 23rd October 2026.
Click apply to submit your application. Please ensure you upload a cover letter and CV, outlining your interest and relevant skills for this opportunity.
We will be back in touch once advertising closes and applications have been reviewed.
Health, Safety and Wellbeing
PHF Science is an equal opportunity employer and committed to providing a working environment that embraces and values diversity and inclusion. Your unique talents and experience will help us deliver exceptional services to New Zealand. We look forward to your application.
If you don't meet every requirement in this position description, please don't exclude yourself. Studies indicate that women and other individuals from under-represented groups often only apply when they satisfy all the criteria. We focus on recruiting individuals who share our core values of Mahi Rangatira (Our quality counts), Mahi tahi (our team spirit), Mahi Auaha (we push boundaries), Mahi Pono (we do the right thing). If these values resonate with you, we encourage you to submit your application.
PHF Science is committed to developing a diverse, inclusive, equitable workplace where people feel they belong. We believe this is the right thing to do, but we also believe it is a worthwhile commitment that makes our organisation stronger and more capable through building on our diversity of thinking, enabling us to better understand the needs of our stakeholders and people and respond effectively to them. An inclusive environment means the diverse perspectives we have are more likely to be expressed, heard, and acted on.
Please note the successful applicant will be required to complete a pre-employment drug-screen and police records check as conditions of employment.
Applications Close:
Originally posted on Himalayas

申请条件

- 具有分析岗位经验,能够完成上述任务
- 计算机科学、信息技术、数据工程或相关学科的本科及以上学历
- 具备相关分析编程能力
- 能够开发和维护可扩展的数据ETL管道及API集成
- 能够处理多样且复杂的数据集,并支持GIS可视化集成
- 具备近实时数据采集、摄取、存储和分析的解决方案设计能力
- 能够制定分析应用开发和部署的技术标准
- 具备需求收集能力,并能提出符合最佳实践和未来状态设计的建议
- 能够识别服务交付和解决方案的持续改进机会
- 具备与跨学科专家合作、从数据中提取价值的能力

雇主简介

PHF Science is a public health science organization that develops data analytics and visualization solutions to advance scientific value and public health outcomes.

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数据来源:Himalayas

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