Analytics & Visualisation Engineer

PHF Science

. Develop and support PHF Science’s public health dashboards and pipelines .

Posted 10/5/2026full-timeRemote • New ZealandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and supporting public health dashboards and ETL pipelines, with strong analytical coding skills in R, Python, and data visualization tools like Tableau and PowerBI. Capable of integrating diverse datasets and ensuring compliance with technical standards for analytics applications.

Highest-signal resume keywords

Data ETL Pipeline DevelopmentAnalytical Coding in R and PythonCloud Systems Development in AzureData Visualization with Tableau and PowerBIProblem Solving and Troubleshooting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ETL Pipeline DevelopmentAnalytical Coding in RAnalytical Coding in PythonData Visualization with TableauData Visualization with PowerBITSQLSnowflakeGIS-Enabled VisualizationsCloud Systems DevelopmentTechnical Standards Development

Soft Skills

Numerical SkillsAnalytical SkillsOral Communication SkillsWritten Communication SkillsCross-Cultural Communication Skills

Tools & Technologies

R ShinyAzureGIS ToolsData Analytics ToolsPublic Health Dashboards

Certifications & Qualifications

Relevant Tertiary Qualification in Computer ScienceRelevant Tertiary Qualification in ITRelevant Tertiary Qualification in Data Engineering

Industry Keywords

Public HealthData ScienceAnalyticsContinuous ImprovementTe Tiriti o WaitangiTikanga MāoriTe Reo Māori

Tech Stack

Tools & technologies

AzureCloudETLPythonTableau

About the role

Key responsibilities & impact

Develop and support PHF Science’s public health dashboards and pipelines
Bring together diverse and complex data to advance the organisation’s scientific value
Partner with PHF Science experts to derive meaningful value from data
Develop scalable data ETL pipelines and API integrations
Integrate diverse datasets with GIS-enabled visualisations
Prepare solutions for near-real-time data collection, ingestion, storage and analysis
Develop technical standards for analytics application development and deployments
Contribute to requirements gathering and recommendations aligned with best practices and future-state design
Identify opportunities for continuous improvement in service delivery and solutions
Upload a cover letter and CV outlining interest and relevant skills

Requirements

What you’ll need

Experience in an analytics role enabling completion of the listed tasks
A relevant tertiary qualification in Computer Science, IT, Data Engineering or related discipline
Relevant analytical coding experience using R, Python, R Shiny, Tableau, PowerBI, TSQL and/or 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 desirable but not essential
Understanding of or willingness to develop capability in Te Tiriti o Waitangi, tikanga Māori and/or te reo Māori
Successful applicant required to complete a pre-employment drug screen and police records check

Benefits

Comp & perks

Flexible working options to support balancing work and non-work commitments
Four weeks annual leave
Two additional annual leave days
Three additional PHF Science days, usually the three days between Christmas and New Year’s Eve
15 days sick leave
Annual volunteer day
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
Flexible, values-driven work environment
Living Wage employer