Data & Automation Analyst — Insights for Māori Policy

New Zealand Government

Wellington

Presencial

NZD 87.000 - 97.000

Jornada completa

Hace 4 días
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Ventajas ofrecidas por este puesto de trabajo

Wellbeing benefits
Childcare support
Medical insurance discounts
Te reo Māori training
Career development

Descripción de la vacante

Te Puni Kōkiri in Wellington seeks a Data & Automation specialist to turn analytics into actionable policy insights. You will create data products, dashboards and evidence-based insights to support better outcomes for whānau, hapū, iwi and Māori, using SQL, R and Python, and collaborating with diverse stakeholders.

You'll contribute to data governance, explore new data sources, and help grow data literacy across the organisation.

Formación

  • Experience in data analysis, research, evaluation, analytics, or a related field.
  • Strong analytical and communication skills.
  • Experience with SQL, R, Python or similar tools a plus.
  • Recent graduates with relevant tertiary qualifications are welcome.
  • Interest in te ao Māori, tikanga Māori and Te Tiriti o Waitangi; commitment to improving outcomes for Māori is desirable.

Responsabilidades

  • Develop data products, dashboards and evidence-based insights to influence decision-making and policy.
  • Collaborate with stakeholders across the organisation on data-driven initiatives.
  • Contribute to data governance initiatives and explore new data sources.
  • Support data literacy and evidence-informed policy across the public sector.

Conocimientos

Data analysis
Research
Evaluation
Analytics
Stakeholder engagement
SQL
Python
R
Communication

Herramientas

SQL
R
Python

Descripción del empleo

Te Puni Kōkiri in Wellington seeks a Data & Automation specialist to turn analytics into actionable policy insights. You will create data products, dashboards and evidence-based insights to support better outcomes for whānau, hapū, iwi and Māori, using SQL, R and Python, and collaborating with diverse stakeholders.

You'll contribute to data governance, explore new data sources, and help grow data literacy across the organisation.

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