PHF Science
PHF Science
PHF Science — бұрын ESR деп аталған, Жаңа Зеландия үкіметіне тиесілі зерттеу ұйымы. Ол қоғамдық денсаулық сақтау, қауіпсіздік және сот төрелігі жүйесіне қатысты ғылыми зерттеулер жүргізеді. Ұйымның жұмысы қоғамдық денсаулықты бақылауды, жұқпалы ауруларды мониторингтеуді, криминалистиканы, азық-түлік пен су қауіпсіздігін, геномиканы, радиациялық ғылымды, сондай-ақ деректер ғылымы мен жасанды интеллектіні қамтиды. Ұйым дәлелдерге негізделген саясатты қолдау, есірткіге байланысты зиянды азайту және Аотеароадағы қауымдастықтарды нығайту үшін тестілеу, мамандандырылған қызметтер, дашбордтар және жарияланған талдаулар ұсынады.

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.

Сипаттама

  • 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

Талаптар

  • 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

Артықшылықтар

  • 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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