PHF Science
PHF Science
PHF Science — ilgari ESR nomi bilan tanilgan, Yangi Zelandiya hukumatiga qarashli tadqiqot tashkiloti. U jamoat salomatligi, xavfsizlik va adliya tizimi uchun ilmiy tadqiqotlar olib boradi. Tashkilot faoliyati jamoat salomatligini kuzatish, yuqumli kasalliklarni monitoring qilish, sud-tibbiyot ekspertizasi, oziq-ovqat va suv xavfsizligi, genomika, radiatsiya ilmi, shuningdek ma’lumotlar ilmi va sun’iy intellekt sohalarini qamrab oladi. Tashkilot dalillarga asoslangan siyosatni qo‘llab-quvvatlash, giyohvand moddalar bilan bog‘liq zararni kamaytirish va Aotearoadagi jamoalarni mustahkamlash uchun testlar, maxsus xizmatlar, boshqaruv panellari hamda e’lon qilingan tahlillarni taqdim etadi.

Analytics and Visualisation Engineer – New Zealand Remote

Build public health dashboards, ETL pipelines, and GIS visualisations for PHF Science. Help advance data-led public health research across New Zealand.

Tavsif

  • Develop and maintain PHF Science’s public health dashboards and data pipelines
  • Combine complex, varied datasets to strengthen the organisation’s scientific work
  • Collaborate with PHF Science specialists to turn data into meaningful insights
  • Build scalable ETL pipelines and API integrations
  • Connect diverse datasets with GIS-enabled visualisations
  • Design solutions for near-real-time data collection, ingestion, storage, and analysis
  • Establish technical standards for analytics application development and deployment
  • Support requirements gathering and recommendations based on best practices and future-state design
  • Find opportunities to continually improve service delivery and solutions
  • Submit a cover letter and CV describing your interest and relevant skills

Talablar

  • Professional analytics experience sufficient to perform the responsibilities outlined above
  • A relevant tertiary qualification in Computer Science, IT, Data Engineering, or a related field
  • Relevant analytical programming experience with R, Python, R Shiny, Tableau, Power BI, T-SQL, and/or Snowflake
  • Experience developing cloud systems, preferably for data science or analytics, with Azure experience ideal
  • Strong numerical and analytical capability
  • Highly developed problem-solving and troubleshooting skills
  • Excellent written and verbal communication skills
  • Cross-cultural communication experience is desirable but not required
  • Understanding of, or willingness to build capability in, Te Tiriti o Waitangi, tikanga Māori, and/or te reo Māori
  • The successful candidate must complete pre-employment drug screening and a police records check

Imtiyozlar

  • Flexible working arrangements to help balance professional and personal commitments
  • Four weeks of annual leave
  • Two additional annual leave days
  • Three extra PHF Science leave days, typically covering the period between Christmas and New Year’s Eve
  • 15 days of sick leave
  • One paid volunteer day each year
  • Free annual influenza vaccinations
  • Subsidised Southern Cross insurance
  • Special retail discounts
  • A confidential, free Employee Assistance Programme (EAP) counselling service
  • A flexible workplace guided by strong values
  • Employment with a Living Wage employer

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