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Wise Group

1 month ago

Data Analyst

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Company information

Company
Wise Group
Location
New Zealand, North Island, Waikato, Hamilton, Beerescourt New Zealand
Posted
1 month ago
View all jobs at Wise Group

Job description

  • Fixed-term + Full-time role + Based in beautiful Hamilton East office
  • Extra week of annual leave + Hybrid working
  • Inhouse chef three days a week + Office close to café’s shops + MADE

Use data to drive smart, people-focused solutions across one of NZ’s largest NGOs

Mō mātou | About us
The Wise Group is a family of not for profit, community organisations sharing a common purpose: to create fresh opportunities and services for the wellbeing of people, vulnerable populations, organisations and communities. We are proud to make a positive difference in the lives of those working through mental health, addiction, and other challenges.

Wise Management Services provides infrastructure services to the Wise Group through people and culture, IT, finance, operations, payroll, property, design and development services.

You’ll be part of our Information Services team, within Wise Management Services. Wise Management Services is a unique infrastructure services company supporting one of the largest non-government organisations in Aotearoa – The Wise Group. The Group provides a variety of mental health and wellbeing services delivered by over 1,600 people nationwide. Each part of the Group has its own unique offering, culture, and requirements, so there are always new and interesting challenges to solve.

Ngā āhuatanga kei a mātou | The Benefits

  • Flexible work environment, work-life balance
  • Hybrid work model
  • Fifth Week of Annual Leave (After 12 months employment)
  • Paid Wellbeing days (2 per year)
  • Perk + Perk plus discount app
  • Subsidised lunch cooked by an inhouse chef three days a week
  • EAP services

Mō tēnei tūranga mahi | About the role
We’re looking for a data-driven problem solver to join our team. In this role you will be supporting entities across the Wise Group to improve how they work through smarter use of data.

You'll contribute to both large and small projects by designing reports, creating insightful data visualisations, and helping shape systems using both off-the-shelf and in-house software.

This is a varied role where collaboration is key—you’ll work alongside internal teams and the Business Improvement team to deliver meaningful, people-focused solutions that reduce operational pain points and create real impact.

In this role, you will:

  • Analyse data to uncover patterns and support informed decision-making
  • Collaborate with stakeholders to understand needs and recommend practical solutions
  • Design and build reports and dashboards using Power BI
  • Extract, transform and document data to support scalable, reusable solutions
  • Apply UX principles to co-design user-friendly tools and reports
  • Provide support, troubleshooting and subject matter expertise across systems

This is a fixed-term position working 40 hours per week, based at our beautiful head office in Hamilton East, with flexible working options available. This role has a fixed-term end date of 30 June 2027.

Ngā pūkenga me ngā wheako | Skills & Experience
We’re looking for someone with:

  • Hands-on experience designing reports and dashboards in Power BI
  • Proficiency in Power Query, DAX and SQL
  • Experience with data modelling and databases
  • Strong problem-solving skills and a creative, solution-focused mindset

It’s a bonus if you have:

  • An understanding of the New Zealand health sector, especially in the NGO or community space
  • Experience presenting to stakeholders or facilitating workshops
  • Proven ability to work independently with creativity and initiative

Applications close | Rā Katinga: 13 June 2026. Please note this advert may close sooner if a suitable candidate is found.

Position description: Please copy and paste link you’re your browser: https://www.wisegroup.co.nz/wp-content/uploads/2025/06/Data-Analyst-PD-2025.pdf

Contact | Whakapā: Liam Blackwell, Data Team Lead on [email protected] for any queries.



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