Māori Data & Automation Analyst for Insightful Policy

New Zealand Government

Wellington

Vor Ort

NZD 87.000 - 97.000

Vollzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Wellbeing, childcare, optical and te r
Medical insurance discounts
In-house te reo Māori training
Career development and study support
Enhanced parental leave provisions

Zusammenfassung

Te Puni Kōkiri, within Te Tari Matua, Pōneke | National Office in Wellington, seeks a data-focused analyst to turn complex information into insights that shape policy for Māori outcomes. You will develop data products, dashboards and evidence-based insights using analytics, automation and AI, collaborating with stakeholders across government.

The role emphasizes technical analysis, stakeholder engagement and strategic influence, with opportunities to explore new data sources and support

Qualifikationen

  • Experience with SQL, R, Python or similar analytical tools.
  • Background in data analysis, research or evaluation.
  • Interest in te ao Māori and Te Tiriti o Waitangi.

Aufgaben

  • Develop data products and dashboards to inform policy decisions.
  • Turn data into actionable insights for stakeholders across government.
  • Contribute to data governance and data literacy initiatives across the organisation.
  • Collaborate with diverse stakeholders to support evidence-based policy.

Kenntnisse

SQL
R
Python

Ausbildung

Relevant tertiary qualifications

Jobbeschreibung

Te Puni Kōkiri, within Te Tari Matua, Pōneke | National Office in Wellington, seeks a data-focused analyst to turn complex information into insights that shape policy for Māori outcomes. You will develop data products, dashboards and evidence-based insights using analytics, automation and AI, collaborating with stakeholders across government.

The role emphasizes technical analysis, stakeholder engagement and strategic influence, with opportunities to explore new data sources and support

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