Analytics and Visualisation Engineer @PHF Science
Data and Analytics
Salary unspecified
Remote Location
Employment Type full-time
Posted 6d ago

[Hiring] Analytics and Visualisation Engineer @PHF Science

6d ago - PHF Science is hiring a remote Analytics and Visualisation Engineer. 💸 Salary: unspecified 📍Location: New Zealand

Role Description

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.

Qualifications

  • 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.

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 Cross insurance & access to special retail discounts.
  • Access to Employee Assistance Programme (EAP), a confidential and free counselling service.

Company Description

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.

Before You Apply
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remote Be aware of the location restriction for this remote position: New Zealand
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Analytics and Visualisation Engineer @PHF Science
Data and Analytics
Salary unspecified
Remote Location
Employment Type full-time
Posted 6d ago
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remote Be aware of the location restriction for this remote position: New Zealand
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
Did not apply ✓
Applied ✓
Sent Follow-Up ✓
Interview Scheduled ✓
Interview Completed ✓
Offer Accepted ✓
Offer Declined ✓
Application Denied ✓
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